diff --git a/v2_plans.md b/v2_plans.md
index ccacc40..a51f29d 100644
--- a/v2_plans.md
+++ b/v2_plans.md
@@ -1,4 +1,8 @@
 * TODO next
+    * Revise structures and types location in files, structures names,
+      add dot file for classes and function dependencies
+    * store statistic results in storage
+    * collect device types mapping from nodes - device should be block/net/...
     * all integral sensors gap interpolation
     * run sensors in thread pool, optimize communication with ceph, can run fist OSD request for
       data validation only on start. Each sensor should collect only one portion of data. During
@@ -6,8 +10,6 @@
       All funcs should run in separated threads
     * run test with sensor on large and small file
     * Move test load code to io.fio file
-    * Revise structures and types location in files, structures names,
-      add dot file for classes and function dependencies
     * Load latency into 2D numpy.array, same for everything else
     * Latency statistic - mostly the same as iops, but no average, dispersion and conf interval
     * Start generating first report images and put them into simple document
@@ -16,7 +18,8 @@
         - 50ppc + 95ppc Lat over time with boxplots in same graph for selected points
     * Statistic in background?
     * UT, which run test with predefined in yaml cluster (cluster and config created separatelly, not with tests)
-      and check that result storage work as expected
+      and check that result storage work as expected. Declare db sheme in seaprated yaml file, UT should check.
+    * Update DB test, add tests for stat and plot module
 
 * Code:
     * Allow to cleanup all uncleaned from previous run 'wally cleanup PATH'
diff --git a/wally/common_types.py b/wally/common_types.py
index ef809ee..ce497ad 100644
--- a/wally/common_types.py
+++ b/wally/common_types.py
@@ -1,5 +1,35 @@
-import abc
 from typing import NamedTuple, Dict, Any
 
+from .istorable import IStorable
+
 IP = str
 IPAddr = NamedTuple("IPAddr", [("host", IP), ("port", int)])
+
+
+class ConnCreds(IStorable):
+    def __init__(self, host: str, user: str, passwd: str = None, port: str = '22',
+                 key_file: str = None, key: bytes = None) -> None:
+        self.user = user
+        self.passwd = passwd
+        self.addr = IPAddr(host, int(port))
+        self.key_file = key_file
+        self.key = key
+
+    def __str__(self) -> str:
+        return "{}@{}:{}".format(self.user, self.addr.host, self.addr.port)
+
+    def __repr__(self) -> str:
+        return str(self)
+
+    def raw(self) -> Dict[str, Any]:
+        return {
+            'user': self.user,
+            'host': self.addr.host,
+            'port': self.addr.port,
+            'passwd': self.passwd,
+            'key_file': self.key_file
+        }
+
+    @classmethod
+    def fromraw(cls, data: Dict[str, Any]) -> 'ConnCreds':
+        return cls(**data)
diff --git a/wally/istorable.py b/wally/istorable.py
new file mode 100644
index 0000000..467f901
--- /dev/null
+++ b/wally/istorable.py
@@ -0,0 +1,31 @@
+import abc
+from typing import Any, Union, List, Dict
+
+
+class IStorable(metaclass=abc.ABCMeta):
+    """Interface for type, which can be stored"""
+
+    @abc.abstractmethod
+    def raw(self) -> Dict[str, Any]:
+        pass
+
+    @abc.abstractclassmethod
+    def fromraw(cls, data: Dict[str, Any]) -> 'IStorable':
+        pass
+
+
+class Storable(IStorable):
+    """Default implementation"""
+
+    def raw(self) -> Dict[str, Any]:
+        return self.__dict__
+
+    @classmethod
+    def fromraw(cls, data: Dict[str, Any]) -> 'IStorable':
+        obj = cls.__new__(cls)
+        obj.__dict__.update(data)
+        return obj
+
+
+Basic = Union[int, str, bytes, bool, None]
+StorableType = Union[IStorable, Dict[str, Any], List[Any], int, str, bytes, bool, None]
diff --git a/wally/main.py b/wally/main.py
index 0de6791..0553b4e 100644
--- a/wally/main.py
+++ b/wally/main.py
@@ -2,6 +2,7 @@
 import time
 import signal
 import pprint
+import getpass
 import logging
 import argparse
 import functools
@@ -98,6 +99,7 @@
     parser = argparse.ArgumentParser(prog='wally', description=descr)
     parser.add_argument("-l", '--log-level', help="print some extra log info")
     parser.add_argument("--ssh-key-passwd", default=None, help="Pass ssh key password")
+    parser.add_argument("--ssh-key-passwd-kbd", action="store_true", help="Enter ssh key password interactivelly")
     parser.add_argument("-s", '--settings-dir', default=None,
                         help="Folder to store key/settings/history files")
 
@@ -320,6 +322,8 @@
 
     if opts.ssh_key_passwd is not None:
         set_ssh_key_passwd(opts.ssh_key_passwd)
+    elif opts.ssh_key_passwd_kbd:
+        set_ssh_key_passwd(getpass.getpass("Ssh key password: ").strip())
 
     stages.sort(key=lambda x: x.priority)
 
diff --git a/wally/node_interfaces.py b/wally/node_interfaces.py
index bc07bb3..71efc54 100644
--- a/wally/node_interfaces.py
+++ b/wally/node_interfaces.py
@@ -2,7 +2,7 @@
 from typing import Any, Set, Dict, NamedTuple, Optional
 from .ssh_utils import ConnCreds
 from .common_types import IPAddr
-from .result_classes import IStorable
+from .istorable import IStorable
 
 
 RPCCreds = NamedTuple("RPCCreds", [("addr", IPAddr), ("key_file", str), ("cert_file", str)])
diff --git a/wally/process_results.py b/wally/process_results.py
index 0e8cb1c..5ca53af 100644
--- a/wally/process_results.py
+++ b/wally/process_results.py
@@ -1,53 +1,58 @@
 # put all result preprocessing here
 # selection, aggregation
 
+import logging
+
+
 from .stage import Stage, StepOrder
 from .test_run_class import TestRun
-from .statistic import calc_norm_stat_props, NormStatProps
-from .result_classes import NormStatProps
+from .statistic import calc_norm_stat_props, calc_histo_stat_props
+from .result_classes import TestJobConfig
+from .suits.itest import ResultStorage
+from .suits.io.fio_hist import get_lat_vals, expected_lat_bins
+from .utils import StopTestError
+
+logger = logging.getLogger("wally")
+
+import matplotlib
+
+# have to be before pyplot import to avoid tkinter(default graph frontend) import error
+matplotlib.use('svg')
+
+import matplotlib.pyplot as plt
+
 
 class CalcStatisticStage(Stage):
     priority = StepOrder.TEST + 1
 
     def run(self, ctx: TestRun) -> None:
-        results = {}
+        rstorage = ResultStorage(ctx.storage, TestJobConfig)
 
-        for is_file, name in ctx.storage.list("result"):
-            if is_file:
+        for suite_cfg, path in rstorage.list_suites():
+            if suite_cfg.test_type != 'fio':
                 continue
 
-            path = "result/{}".format(name)
-            info = ctx.storage.get("result/{}/info".format(name))
+            for job_cfg, path, _ in rstorage.list_jobs_in_suite(path):
+                results = {}
+                for node_id, dev, sensor_name in rstorage.list_ts_in_job(path):
+                    ts = rstorage.load_ts(path, node_id, dev, sensor_name)
+                    if dev == 'fio' and sensor_name == 'lat':
+                        if ts.second_axis_size != expected_lat_bins:
+                            logger.error("Sensor %s.%s on node %s has" +
+                                         "second_axis_size=%s. Can only process sensors with second_axis_size=%s.",
+                                         dev, sensor_name, node_id, ts.second_axis_size, expected_lat_bins)
+                            continue
+                        ts.bins_edges = get_lat_vals(ts.second_axis_size)
+                        stat_prop = calc_histo_stat_props(ts)
 
-            if info['test'] == 'fio':
-                for node in info['nodes']:
-                    data_path = "{}/measurement/{}".format(path, node)
-
-                    iops = ctx.storage.get_array('Q', data_path, 'iops_data')
-                    iops_stat_path = "{}/iops_stat".format(data_path)
-                    if iops_stat_path in ctx.storage:
-                        iops_stat= ctx.storage.load(NormStatProps, iops_stat_path)
+                    elif ts.second_axis_size != 1:
+                        logger.warning("Sensor %s.%s on node %s provide 2D data with " +
+                                       "ts.second_axis_size=%s. Can't process it.",
+                                       dev, sensor_name, node_id, ts.second_axis_size)
+                        continue
                     else:
-                        iops_stat = calc_norm_stat_props(iops)
-                        ctx.storage.put(iops_stat, iops_stat_path)
+                        stat_prop = calc_norm_stat_props(ts)
 
-                    bw = ctx.storage.get_array('Q', data_path, 'bw_data')
-                    bw_stat_path = "{}/bw_stat".format(data_path)
-                    if bw_stat_path in ctx.storage:
-                        bw_stat = ctx.storage.load(NormStatProps, bw_stat_path)
-                    else:
-                        bw_stat = calc_norm_stat_props(bw)
-                        ctx.storage.put(bw_stat, bw_stat_path)
+                    results[(node_id, dev, sensor_name)] = stat_prop
 
-                    lat = ctx.storage.get_array('L', data_path, 'lat_data')
-                    lat_stat = None
-
-                    results[name] = (iops, iops_stat, bw, bw_stat, lat, lat_stat)
-
-        for name, (iops, iops_stat, bw, bw_stat, lat, lat_stat) in results.items():
-            print(" -------------------  IOPS -------------------")
-            print(iops_stat)  # type: ignore
-            print(" -------------------  BW -------------------")
-            print(bw_stat)  # type: ignore
-            # print(" -------------------  LAT -------------------")
-            # print(calc_stat_props(lat))
+        raise StopTestError()
diff --git a/wally/report.py b/wally/report.py
index 58dcf56..cf1289b 100644
--- a/wally/report.py
+++ b/wally/report.py
@@ -5,10 +5,13 @@
 import numpy
 import scipy
 import matplotlib
+
+# have to be before pyplot import to avoid tkinter(default graph frontend) import error
+matplotlib.use('svg')
+
 import matplotlib.pyplot as plt
 
 
-matplotlib.use('svg')
 
 
 from .utils import ssize2b
diff --git a/wally/result_classes.py b/wally/result_classes.py
index e306525..3616f47 100644
--- a/wally/result_classes.py
+++ b/wally/result_classes.py
@@ -1,92 +1,102 @@
-import abc
 import array
-from typing import Dict, List, Any, Optional
+from typing import Dict, List, Any, Optional, Tuple, cast
+
 
 import numpy
-from scipy import stats
+from scipy.stats.mstats_basic import NormaltestResult
 
 
-from .utils import IStorable, Number, round_digits
+from .node_interfaces import IRPCNode
+from .istorable import IStorable, Storable
+from .utils import round_digits, Number
 
 
-class TimeSerie:
-    name = None  # type: str
-    start_at = None  # type: int
-    step = None  # type: int
-    data = None  # type: List[int]
-    second_axis_size = None  # type: int
-    raw = None  # type: Optional[bytes]
+class TestJobConfig(Storable):
+    def __init__(self) -> None:
+        self.summary = None  # type: str
 
-    def __init__(self, name: str, raw: Optional[bytes], second_axis_size: int,
-                 start_at: int, step: int, data: array.array) -> None:
+
+class TestSuiteConfig(IStorable):
+    """
+    Test suite input configuration.
+
+    test_type - test type name
+    params - parameters from yaml file for this test
+    run_uuid - UUID to be used to create file names & Co
+    nodes - nodes to run tests on
+    remote_dir - directory on nodes to be used for local files
+    """
+    def __init__(self,
+                 test_type: str,
+                 params: Dict[str, Any],
+                 run_uuid: str,
+                 nodes: List[IRPCNode],
+                 remote_dir: str) -> None:
+        self.test_type = test_type
+        self.params = params
+        self.run_uuid = run_uuid
+        self.nodes = nodes
+        self.nodes_ids = [node.info.node_id() for node in nodes]
+        self.remote_dir = remote_dir
+
+    def __eq__(self, other: 'TestSuiteConfig') -> bool:
+        return (self.test_type == other.test_type and
+                self.params == other.params and
+                set(self.nodes_ids) == set(other.nodes_ids))
+
+    def raw(self) -> Dict[str, Any]:
+        res = self.__dict__.copy()
+        del res['nodes']
+        del res['run_uuid']
+        del res['remote_dir']
+        return res
+
+    @classmethod
+    def fromraw(cls, data: Dict[str, Any]) -> 'IStorable':
+        obj = cls.__new__(cls)
+        data = data.copy()
+        data['nodes'] = None
+        data['run_uuid'] = None
+        data['remote_dir'] = None
+        obj.__dict__.update(data)
+        return obj
+
+
+class TimeSeries:
+    """Data series from sensor - either system sensor or from load generator tool (e.g. fio)"""
+
+    def __init__(self,
+                 name: str,
+                 raw: Optional[bytes],
+                 data: array.array,
+                 times: array.array,
+                 second_axis_size: int = 1,
+                 bins_edges: List[float] = None) -> None:
+
+        # Sensor name. Typically DEV_NAME.METRIC
         self.name = name
-        self.start_at = start_at
-        self.step = step
+
+        # Time series times and values. Time in ms from Unix epoch.
+        self.times = times  # type: List[int]
+        self.data = data  # type: List[int]
+
+        # Not equal to 1 in case of 2d sensors, like latency, when each measurement is a histogram.
         self.second_axis_size = second_axis_size
-        self.data = data # type: ignore
+
+        # Raw sensor data (is provided). Like log file for fio iops/bw/lat.
         self.raw = raw
 
-    def meta(self) -> Dict[str, Any]:
-        return {
-            "start_at": self.start_at,
-            "step": self.step,
-            "second_axis_size": self.second_axis_size
-        }
+        # bin edges for historgam timeseries
+        self.bins_edges = bins_edges
 
 
-class SensorInfo:
-    """Holds information from a single sensor from a single node"""
-    node_id = None  # type: str
-    source_id = None  # type: str
-    sensor_name = None  # type: str
-    begin_time = None  # type: int
-    end_time = None  # type: int
-    data = None  # type: List[int]
-
-    def __init__(self, node_id: str, source_id: str, sensor_name: str) -> None:
-        self.node_id = node_id
-        self.source_id = source_id
-        self.sensor_name = sensor_name
+# (node_name, source_dev, metric_name) => metric_results
+JobMetrics = Dict[Tuple[str, str, str], TimeSeries]
 
 
-class TestInfo:
-    """Contains done test information"""
-    name = None  # type: str
-    iteration_name = None # type: str
-    nodes = None  # type: List[str]
-    start_time = None  # type: int
-    stop_time = None  # type: int
-    params = None  # type: Dict[str, Any]
-    config = None  # type: str
-    node_ids = None # type: List[str]
-
-
-class NodeTestResults:
-    name = None  # type: str
-    node_id = None  # type: str
-    summary = None  # type: str
-
-    load_start_at = None  # type: int
-    load_stop_at = None  # type: int
-
-    series = None  # type: Dict[str, TimeSerie]
-
-    def __init__(self, name: str, node_id: str, summary: str) -> None:
-        self.name = name
-        self.node_id = node_id
-        self.summary = summary
-        self.series = {}
-        self.extra_logs = {}  # type: Dict[str, bytes]
-
-
-class NormStatProps(IStorable):
-    "Statistic properties for timeserie"
+class StatProps(IStorable):
+    "Statistic properties for timeseries with unknown data distribution"
     def __init__(self, data: List[Number]) -> None:
-        self.average = None  # type: float
-        self.deviation = None  # type: float
-        self.confidence = None  # type: float
-        self.confidence_level = None  # type: float
-
         self.perc_99 = None  # type: float
         self.perc_95 = None  # type: float
         self.perc_90 = None  # type: float
@@ -100,10 +110,52 @@
         self.bins_edges = None  # type: List[float]
         self.data = data
 
-        self.normtest = None  # type: Any
+    def __str__(self) -> str:
+        res = ["{}(size = {}):".format(self.__class__.__name__, len(self.data))]
+        for name in ["perc_50", "perc_90", "perc_95", "perc_99"]:
+            res.append("    {} = {}".format(name, round_digits(getattr(self, name))))
+        res.append("    range {} {}".format(round_digits(self.min), round_digits(self.max)))
+        return "\n".join(res)
+
+    def __repr__(self) -> str:
+        return str(self)
+
+    def raw(self) -> Dict[str, Any]:
+        data = self.__dict__.copy()
+        data['bins_edges'] = list(self.bins_edges)
+        data['bins_populations'] = list(self.bins_populations)
+        return data
+
+    @classmethod
+    def fromraw(cls, data: Dict[str, Any]) -> 'StatProps':
+        data['bins_edges'] = numpy.array(data['bins_edges'])
+        data['bins_populations'] = numpy.array(data['bins_populations'])
+        res = cls.__new__(cls)
+        res.__dict__.update(data)
+        return res
+
+
+class HistoStatProps(StatProps):
+    """Statistic properties for 2D timeseries with unknown data distribution and histogram as input value.
+    Used for latency"""
+    def __init__(self, data: List[Number], second_axis_size: int) -> None:
+        self.second_axis_size = second_axis_size
+        StatProps.__init__(self, data)
+
+
+class NormStatProps(StatProps):
+    "Statistic properties for timeseries with normal data distribution. Used for iops/bw"
+    def __init__(self, data: List[Number]) -> None:
+        StatProps.__init__(self, data)
+
+        self.average = None  # type: float
+        self.deviation = None  # type: float
+        self.confidence = None  # type: float
+        self.confidence_level = None  # type: float
+        self.normtest = None  # type: NormaltestResult
 
     def __str__(self) -> str:
-        res = ["StatProps(size = {}):".format(len(self.data)),
+        res = ["NormStatProps(size = {}):".format(len(self.data)),
                "    distr = {} ~ {}".format(round_digits(self.average), round_digits(self.deviation)),
                "    confidence({0.confidence_level}) = {1}".format(self, round_digits(self.confidence)),
                "    perc_50 = {}".format(round_digits(self.perc_50)),
@@ -114,43 +166,32 @@
                "    normtest = {0.normtest}".format(self)]
         return "\n".join(res)
 
-    def __repr__(self) -> str:
-        return str(self)
-
     def raw(self) -> Dict[str, Any]:
         data = self.__dict__.copy()
-        data['nortest'] = (data['nortest'].statistic, data['nortest'].pvalue)
+        data['normtest'] = (data['nortest'].statistic, data['nortest'].pvalue)
         data['bins_edges'] = list(self.bins_edges)
         return data
 
     @classmethod
     def fromraw(cls, data: Dict[str, Any]) -> 'NormStatProps':
-        data['nortest'] = stats.mstats.NormaltestResult(data['nortest'].statistic, data['nortest'].pvalue)
-        data['bins_edges'] = numpy.array(data['bins_edges'])
-        res = cls.__new__(cls)
-        res.__dict__.update(data)
-        return res
+        data['normtest'] = NormaltestResult(*data['normtest'])
+        obj = StatProps.fromraw(data)
+        obj.__class__ = cls
+        return cast('NormStatProps', obj)
 
 
-class ProcessedTestResults:
-    def __init__(self, info: Dict[str, Any],
-                 metrics: Dict[str, NormStatProps]) -> None:
-        self.test = info['test']
-        self.profile = info['profile']
-        self.suite = info['suite']
-        self.name = "{0.suite}.{0.test}.{0.profile}".format(self)
+JobStatMetrics = Dict[Tuple[str, str, str], StatProps]
+
+
+class TestJobResult:
+    """Contains done test job information"""
+
+    def __init__(self,
+                 info: TestJobConfig,
+                 begin_time: int,
+                 end_time: int,
+                 raw: JobMetrics) -> None:
         self.info = info
-        self.metrics = metrics  # mapping {metrics_name: StatProps}
-
-
-# class FullTestResult:
-#     test_info = None  # type: TestInfo
-#
-#     # TODO(koder): array.array or numpy.array?
-#     # {(node_id, perf_metrics_name): values}
-#     performance_data = None  # type: Dict[Tuple[str, str], List[int]]
-#
-#     # {(node_id, perf_metrics_name): values}
-#     sensors_data = None  # type: Dict[Tuple[str, str, str], SensorInfo]
-
-
+        self.run_interval = (begin_time, end_time)
+        self.raw = raw  # type: JobMetrics
+        self.processed = None  # type: JobStatMetrics
diff --git a/wally/run_test.py b/wally/run_test.py
index 2cdf0e8..a11b43d 100755
--- a/wally/run_test.py
+++ b/wally/run_test.py
@@ -11,7 +11,7 @@
 from .stage import Stage, StepOrder
 from .sensors import collect_sensors_data
 from .suits.io.fio import IOPerfTest
-from .suits.itest import TestInputConfig
+from .suits.itest import TestSuiteConfig
 from .suits.mysql import MysqlTest
 from .suits.omgbench import OmgTest
 from .suits.postgres import PgBenchTest
@@ -225,38 +225,44 @@
     config_block = 'tests'
 
     def run(self, ctx: TestRun) -> None:
-        for test_group in ctx.config.get('tests', []):
-            if not ctx.config.no_tests:
-                test_nodes = [node for node in ctx.nodes if 'testnode' in node.info.roles]
+        if ctx.config.no_tests:
+            logger.info("Skiping tests, as 'no_tests' config settings is True")
+            return
 
-                if not test_nodes:
-                    logger.error("No test nodes found")
-                    raise StopTestError()
+        for suite_idx, test_suite in enumerate(ctx.config.get('tests', [])):
+            test_nodes = [node for node in ctx.nodes if 'testnode' in node.info.roles]
 
-                for name, params in test_group.items():
-                    vm_count = params.get('node_limit', None)  # type: Optional[int]
+            if not test_nodes:
+                logger.error("No test nodes found")
+                raise StopTestError()
 
-                    # select test nodes
-                    if vm_count is None:
-                        curr_test_nodes = test_nodes
-                    else:
-                        curr_test_nodes = test_nodes[:vm_count]
+            if len(test_suite) != 1:
+                logger.error("Test suite %s contain more than one test. Put each test in separated group", suite_idx)
+                raise StopTestError()
 
-                    if not curr_test_nodes:
-                        logger.error("No nodes found for test, skipping it.")
-                        continue
+            name, params = list(test_suite.items())[0]
+            vm_count = params.get('node_limit', None)  # type: Optional[int]
 
-                    test_cls = TOOL_TYPE_MAPPER[name]
-                    remote_dir = ctx.config.default_test_local_folder.format(name=name, uuid=ctx.config.run_uuid)
-                    test_cfg = TestInputConfig(test_cls.__name__,
-                                               params=params,
-                                               run_uuid=ctx.config.run_uuid,
-                                               nodes=test_nodes,
-                                               storage=ctx.storage,
-                                               remote_dir=remote_dir)
+            # select test nodes
+            if vm_count is None:
+                curr_test_nodes = test_nodes
+            else:
+                curr_test_nodes = test_nodes[:vm_count]
 
-                    test_cls(test_cfg,
-                             on_idle=lambda: collect_sensors_data(ctx, False)).run()
+            if not curr_test_nodes:
+                logger.error("No nodes found for test, skipping it.")
+                continue
+
+            test_cls = TOOL_TYPE_MAPPER[name]
+            remote_dir = ctx.config.default_test_local_folder.format(name=name, uuid=ctx.config.run_uuid)
+            test_cfg = TestSuiteConfig(test_cls.name,
+                                       params=params,
+                                       run_uuid=ctx.config.run_uuid,
+                                       nodes=test_nodes,
+                                       remote_dir=remote_dir)
+
+            test_cls(storage=ctx.storage, config=test_cfg, idx=suite_idx,
+                     on_idle=lambda: collect_sensors_data(ctx, False)).run()
 
     @classmethod
     def validate_config(cls, cfg: ConfigBlock) -> None:
diff --git a/wally/ssh.py b/wally/ssh.py
index 6bba020..fcb7fb3 100644
--- a/wally/ssh.py
+++ b/wally/ssh.py
@@ -10,7 +10,7 @@
 import paramiko
 
 from . import utils
-from .ssh_utils import ConnCreds, IPAddr
+from .common_types import ConnCreds, IPAddr
 
 logger = logging.getLogger("wally")
 NODE_KEYS = {}  # type: Dict[IPAddr, paramiko.RSAKey]
diff --git a/wally/ssh_utils.py b/wally/ssh_utils.py
index e9e118d..ed857b6 100644
--- a/wally/ssh_utils.py
+++ b/wally/ssh_utils.py
@@ -1,12 +1,11 @@
 import re
 import getpass
 import logging
-from typing import List, Dict, Any
+from typing import List, Dict
 
 
 from . import utils
-from .common_types import IPAddr
-from .result_classes import IStorable
+from .common_types import ConnCreds
 
 
 logger = logging.getLogger("wally")
@@ -47,35 +46,6 @@
         uri_reg_exprs.append(templ.format(**re_dct))
 
 
-class ConnCreds(IStorable):
-    def __init__(self, host: str, user: str, passwd: str = None, port: str = '22',
-                 key_file: str = None, key: bytes = None) -> None:
-        self.user = user
-        self.passwd = passwd
-        self.addr = IPAddr(host, int(port))
-        self.key_file = key_file
-        self.key = key
-
-    def __str__(self) -> str:
-        return "{}@{}:{}".format(self.user, self.addr.host, self.addr.port)
-
-    def __repr__(self) -> str:
-        return str(self)
-
-    def raw(self) -> Dict[str, Any]:
-        return {
-            'user': self.user,
-            'host': self.addr.host,
-            'port': self.addr.port,
-            'passwd': self.passwd,
-            'key_file': self.key_file
-        }
-
-    @classmethod
-    def fromraw(cls, data) -> 'ConnCreds':
-        return cls(**data)
-
-
 def parse_ssh_uri(uri: str) -> ConnCreds:
     """Parse ssh connection URL from one of following form
         [ssh://]user:passwd@host[:port]
diff --git a/wally/statistic.py b/wally/statistic.py
index 2f68ca5..259ac69 100644
--- a/wally/statistic.py
+++ b/wally/statistic.py
@@ -1,8 +1,9 @@
 import math
+import array
 import logging
 import itertools
 import statistics
-from typing import Union, List, TypeVar, Callable, Iterable, Tuple, Any, cast, Dict
+from typing import List, Callable, Iterable, cast
 
 import numpy
 from scipy import stats, optimize
@@ -10,7 +11,7 @@
 from numpy.polynomial.chebyshev import chebfit, chebval
 
 
-from .result_classes import NormStatProps
+from .result_classes import NormStatProps, HistoStatProps, TimeSeries
 from .utils import Number
 
 
@@ -22,9 +23,10 @@
 dev = lambda x: math.sqrt(statistics.variance(x))
 
 
-def calc_norm_stat_props(data: List[Number], confidence: float = 0.95) -> NormStatProps:
+def calc_norm_stat_props(ts: TimeSeries, confidence: float = 0.95) -> NormStatProps:
     "Calculate statistical properties of array of numbers"
 
+    data = ts.data
     res = NormStatProps(data)
 
     if len(data) == 0:
@@ -58,6 +60,39 @@
     return res
 
 
+def calc_histo_stat_props(ts: TimeSeries) -> HistoStatProps:
+    data = numpy.array(ts.data)
+    data.shape = [len(ts.data) // ts.second_axis_size, ts.second_axis_size]
+
+    res = HistoStatProps(ts.data, ts.second_axis_size)
+    aggregated = numpy.sum(data, axis=0)
+
+    full_sum = numpy.sum(aggregated)
+    expected = [full_sum * 0.5, full_sum * 0.9, full_sum * 0.95, full_sum * 0.99]
+    percentiles = []
+
+    val_min = None
+    val_max = None
+
+    for idx, val in enumerate(aggregated):
+        while expected and full_sum + val >= expected[0]:
+            percentiles.append(idx)
+            del expected[0]
+
+        full_sum += val
+
+        if val != 0:
+            if val_min is None:
+                val_min = idx
+            val_max = idx
+
+    res.perc_50, res.perc_90, res.perc_95, res.perc_99 = map(ts.bins_edges.__getitem__, percentiles)
+    res.min = ts.bins_edges[val_min]
+    res.max = ts.bins_edges[val_max]
+    res.bin_populations = aggregated
+    return res
+
+
 def groupby_globally(data: Iterable, key_func: Callable):
     grouped = {}  # type: ignore
     grouped_iter = itertools.groupby(data, key_func)
diff --git a/wally/storage.py b/wally/storage.py
index d33f8e5..e4e010c 100644
--- a/wally/storage.py
+++ b/wally/storage.py
@@ -7,6 +7,7 @@
 import array
 import shutil
 import sqlite3
+import threading
 from typing import Any, TypeVar, Type, IO, Tuple, cast, List, Dict, Iterable, Iterator
 
 import yaml
@@ -16,7 +17,7 @@
     from yaml import Loader, Dumper  # type: ignore
 
 
-from .result_classes import Storable, IStorable
+from .result_classes import IStorable
 
 
 class ISimpleStorage(metaclass=abc.ABCMeta):
@@ -59,7 +60,7 @@
 class ISerializer(metaclass=abc.ABCMeta):
     """Interface for serialization class"""
     @abc.abstractmethod
-    def pack(self, value: Storable) -> bytes:
+    def pack(self, value: IStorable) -> bytes:
         pass
 
     @abc.abstractmethod
@@ -76,6 +77,7 @@
     contains_sql = "SELECT 1 FROM wally_storage WHERE key=?"
     rm_sql = "DELETE FROM wally_storage WHERE key LIKE '{}%'"
     list2_sql = "SELECT key, length(data), type FROM wally_storage"
+    SQLITE3_THREADSAFE = 1
 
     def __init__(self, db_path: str = None, existing: bool = False,
                  prefix: str = None, db: sqlite3.Connection = None) -> None:
@@ -89,8 +91,11 @@
                     raise IOError("No storage found at {!r}".format(db_path))
 
             os.makedirs(os.path.dirname(db_path), exist_ok=True)
+            if sqlite3.threadsafety != self.SQLITE3_THREADSAFE:
+                raise RuntimeError("Sqlite3 compiled without threadsafe support, can't use DB storage on it")
+
             try:
-                self.db = sqlite3.connect(db_path)
+                self.db = sqlite3.connect(db_path, check_same_thread=False)
             except sqlite3.OperationalError as exc:
                 raise IOError("Can't open database at {!r}".format(db_path)) from exc
 
@@ -224,7 +229,15 @@
         pass
 
     def list(self, path: str) -> Iterator[Tuple[bool, str]]:
-        for fobj in os.scandir(self.j(path)):
+        path = self.j(path)
+
+        if not os.path.exists(path):
+            return
+
+        if not os.path.isdir(path):
+            raise OSError("{!r} is not a directory".format(path))
+
+        for fobj in os.scandir(path):
             if fobj.path not in self.ignored:
                 if fobj.is_dir():
                     yield False, fobj.name
@@ -234,7 +247,7 @@
 
 class YAMLSerializer(ISerializer):
     """Serialize data to yaml"""
-    def pack(self, value: Storable) -> bytes:
+    def pack(self, value: IStorable) -> bytes:
         try:
             return yaml.dump(value, Dumper=Dumper, encoding="utf8")
         except Exception as exc:
@@ -246,7 +259,7 @@
 
 class SAFEYAMLSerializer(ISerializer):
     """Serialize data to yaml"""
-    def pack(self, value: Storable) -> bytes:
+    def pack(self, value: IStorable) -> bytes:
         try:
             return yaml.safe_dump(value, encoding="utf8")
         except Exception as exc:
@@ -274,7 +287,7 @@
         fpath = "/".join(path)
         return self.__class__(self.fs.sub_storage(fpath), self.db.sub_storage(fpath), self.serializer)
 
-    def put(self, value: Storable, *path: str) -> None:
+    def put(self, value: IStorable, *path: str) -> None:
         dct_value = value.raw() if isinstance(value, IStorable) else value
         serialized = self.serializer.pack(dct_value)
         fpath = "/".join(path)
@@ -313,7 +326,7 @@
 
     def append_raw(self, value: bytes, *path: str) -> None:
         with self.fs.get_fd("/".join(path), "rb+") as fd:
-            fd.seek(offset=0, whence=os.SEEK_END)
+            fd.seek(0, os.SEEK_END)
             fd.write(value)
 
     def get_fd(self, path: str, mode: str = "r") -> IO:
diff --git a/wally/storage_structure.txt b/wally/storage_structure.txt
deleted file mode 100644
index bc4e77e..0000000
--- a/wally/storage_structure.txt
+++ /dev/null
@@ -1,36 +0,0 @@
-config: Config - full configuration
-all_nodes: List[NodeInfo] - all nodes
-cli: List[str] - cli options
-spawned_nodes_ids: List[int] - list of openstack VM, spawned for test
-
-fuel_version: List[int] - FUEL master node version
-fuel_os_creds: OSCreds - openstack creds, discovered from fuel (or None)
-
-openstack_openrc: OSCreds - openrc used for openstack cluster
-
-info/comment : str - run comment
-info/run_uuid : str - run uuid
-info/run_time : float - run unix time
-
-# test results
-result/{descr}_{id}/info :
-                test_config = {
-                    'name': self.name,
-                    'iteration_name': iter_name,
-                    'iteration_config': iteration_config.raw(),
-                    'params': self.config.params,
-                    'nodes': self.sorted_nodes_ids,
-                    'begin_time': min_start_time,
-                    'end_time': max_stop_time
-                }
-
-result/{descr}_{id}/measurement/{node}/{name}_raw : bytes - raw log, where name from {'bw', 'iops', 'lat'}
-result/{descr}_{id}/measurement/{node}/{name}_data - List[uint64] - measurements data.
-result/{descr}_{id}/measurement/{node}/{name}_meta - Dict[str, Any] - measurements metadata.
-
-metric/{node_name}/{dev}/{metric_name} : List[float] - node metrics data. E.g.:
-    metric/node-22/cpu/load
-    metric/node-22/sda/read_io
-    metric/node-22/eth0/data_recv
-
-rpc_logs/{node_id}  - str, rpc server log from node
diff --git a/wally/storage_structure.yaml b/wally/storage_structure.yaml
new file mode 100644
index 0000000..e748dd8
--- /dev/null
+++ b/wally/storage_structure.yaml
@@ -0,0 +1,36 @@
+# {node} - node id in format '\d+.\d+.\d+.\d+:\d+'
+# {descr} - test short description '[-a-zA-Z0-9]+'
+# {metric_name} - metrics name '[a-z_]+'
+# {id} - test/suite run id '\d+'
+# {dev} - device name '[^.]+'
+# {suite} - suite name '[a-z]+'
+# {profile} - profile name '[a-z_]+'
+
+
+config: Config                   # test input configuration
+all_nodes: List[NodeInfo]        # all discovered nodes
+cli: List[str]                   # cli options
+spawned_nodes_ids: List[int]     # list of openstack VM ids, spawned for test
+fuel_version: List[int]          # FUEL master node version
+fuel_os_creds: OSCreds           # openstack creds, discovered from fuel (or None)
+openstack_openrc: OSCreds        # openrc used for openstack cluster
+info:
+    comment : str               # run comment
+    run_uuid : str              # run uuid
+    run_time : float            # unix time when test first starts
+
+'results/{suite}_{profile}_{id}':
+    config: TestSuiteConfig   # test job(iteration) input config, {id} is id of first job in suite
+    '{descr}_{id}':
+        config: TestJobConfig  # test job(iteration) input config
+
+        # dev in next line is tool name - fio/vdbench/....
+        '{node}_{dev}.{metric_name}:raw' : bytes  # raw log, where name from {'bw', 'iops', 'lat', ..}
+        '{node}_{dev}.{metric_name}': List[uint64]   # measurements data concatenated with collect times in
+                                                     # microseconds from unix epoch
+
+sensors:
+    '{node}_{dev}.{metric_name}:raw' : bytes          # raw log, where name from {'bw', 'iops', 'lat', ..}
+    '{node}_{dev}.{metric_name}': List[uint64]   # measurements data cotaneted with collect times in microseconds from unix epoch
+
+'rpc_logs/{node}' : bytes   # rpc server log from node
diff --git a/wally/suits/io/fio.py b/wally/suits/io/fio.py
index c32dba2..7b2c3e3 100644
--- a/wally/suits/io/fio.py
+++ b/wally/suits/io/fio.py
@@ -7,9 +7,9 @@
 
 from ...utils import StopTestError, get_os, ssize2b
 from ...node_interfaces import IRPCNode
-from ..itest import ThreadedTest, IterationConfig, NodeTestResults
-from ...result_classes import TimeSerie
-from .fio_task_parser import execution_time, fio_cfg_compile, FioJobSection, FioParams, get_log_files, get_test_summary
+from ..itest import ThreadedTest
+from ...result_classes import TimeSeries, JobMetrics
+from .fio_task_parser import execution_time, fio_cfg_compile, FioJobConfig, FioParams, get_log_files
 from . import rpc_plugin
 from .fio_hist import expected_lat_bins
 
@@ -22,6 +22,7 @@
     retry_time = 30
     configs_dir = os.path.dirname(__file__)  # type: str
     name = 'fio'
+    job_config_cls = FioJobConfig
 
     def __init__(self, *args, **kwargs) -> None:
         super().__init__(*args, **kwargs)
@@ -72,14 +73,13 @@
         else:
             self.file_size = ssize2b(self.load_params['FILESIZE'])
 
-        self.fio_configs = list(fio_cfg_compile(self.load_profile, self.load_profile_path,
+        self.job_configs = list(fio_cfg_compile(self.load_profile, self.load_profile_path,
                                                 cast(FioParams, self.load_params)))
 
-        if len(self.fio_configs) == 0:
+        if len(self.job_configs) == 0:
             logger.error("Empty fio config provided")
             raise StopTestError()
 
-        self.iterations_configs = self.fio_configs  # type: ignore
         self.exec_folder = self.config.remote_dir
 
     def config_node(self, node: IRPCNode) -> None:
@@ -129,15 +129,15 @@
             node.copy_file(fio_path, bz_dest)
             node.run("bzip2 --decompress {} ; chmod a+x {}".format(bz_dest, self.join_remote("fio")))
 
-    def get_expected_runtime(self, iteration_info: IterationConfig) -> int:
-        return execution_time(cast(FioJobSection, iteration_info))
+    def get_expected_runtime(self, job_config: FioJobConfig) -> int:
+        return execution_time(cast(FioJobConfig, job_config))
 
-    def prepare_iteration(self, node: IRPCNode, iter_config: IterationConfig) -> None:
-        node.put_to_file(self.remote_task_file, str(iter_config).encode("utf8"))
+    def prepare_iteration(self, node: IRPCNode, job_config: FioJobConfig) -> None:
+        node.put_to_file(self.remote_task_file, str(job_config).encode("utf8"))
 
     # TODO: get a link to substorage as a parameter
-    def run_iteration(self, node: IRPCNode, iter_config: IterationConfig, stor_prefix: str) -> NodeTestResults:
-        f_iter_config = cast(FioJobSection, iter_config)
+    def run_iteration(self, node: IRPCNode, iter_config: FioJobConfig, job_root: str) -> JobMetrics:
+        f_iter_config = cast(FioJobConfig, iter_config)
         exec_time = execution_time(f_iter_config)
 
         fio_cmd_templ = "cd {exec_folder}; " + \
@@ -152,17 +152,15 @@
         if must_be_empty:
             logger.error("Unexpected fio output: %r", must_be_empty)
 
-        res = NodeTestResults(self.__class__.__name__, node.info.node_id(), get_test_summary(f_iter_config))
+        res = {}  # type: JobMetrics
 
-        res.extra_logs['fio'] = node.get_file_content(self.remote_output_file)
-        self.store_data(res.extra_logs['fio'], "raw", stor_prefix, "fio_raw")
+        # put fio output into storage
+        fio_out = node.get_file_content(self.remote_output_file)
+        self.rstorage.put_extra(job_root, node.info.node_id(), "fio_raw", fio_out)
         node.conn.fs.unlink(self.remote_output_file)
 
         files = [name for name in node.conn.fs.listdir(self.exec_folder)]
 
-        expected_time_delta = 1000  # 1000ms == 1s
-        max_time_diff = 50  # 50ms - 5%
-
         for name, path in get_log_files(f_iter_config):
             log_files = [fname for fname in files if fname.startswith(path)]
             if len(log_files) != 1:
@@ -172,7 +170,6 @@
 
             fname = os.path.join(self.exec_folder, log_files[0])
             raw_result = node.get_file_content(fname)  # type: bytes
-            self.store_data(raw_result, "raw", stor_prefix, "{}_raw".format(name))
             node.conn.fs.unlink(fname)
 
             try:
@@ -182,23 +179,14 @@
                 raise StopTestError()
 
             parsed = array.array('L' if name == 'lat' else 'Q')
-            prev_ts = None
-            load_start_at = None
+            times = array.array('Q')
 
-            # TODO: need to adjust vals for timedelta
             for idx, line in enumerate(log_data):
                 line = line.strip()
                 if line:
                     try:
                         time_ms_s, val_s, _, *rest = line.split(",")
-                        time_ms = int(time_ms_s.strip())
-
-                        if not prev_ts:
-                            prev_ts = time_ms - expected_time_delta
-                            load_start_at = time_ms
-                        elif abs(time_ms - prev_ts - expected_time_delta) > max_time_diff:
-                            logger.warning("Too large gap in {} log at {} - {}ms"
-                                           .format(name, time_ms, time_ms - prev_ts))
+                        times.append(int(time_ms_s.strip()))
 
                         if name == 'lat':
                             vals = [int(i.strip()) for i in rest]
@@ -215,17 +203,12 @@
                         logger.exception("Error during parse %s fio log file in line %s: %r", name, idx, line)
                         raise StopTestError()
 
-                    prev_ts += expected_time_delta
-
-            res.series[name] = TimeSerie(name=name,
-                                         raw=raw_result,
-                                         second_axis_size=expected_lat_bins if name == 'lat' else 1,
-                                         start_at=load_start_at,
-                                         step=expected_time_delta,
-                                         data=parsed)
-
-            self.store_data(parsed, "array", stor_prefix, "{}_data".format(name))
-            self.store_data(res.series[name].meta(), "yaml", stor_prefix, "{}_meta".format(name))
+            ts = TimeSeries(name=name,
+                            raw=raw_result,
+                            second_axis_size=expected_lat_bins if name == 'lat' else 1,
+                            data=parsed,
+                            times=times)
+            res[(node.info.node_id(), 'fio', name)] = ts
 
         return res
 
diff --git a/wally/suits/io/fio_hist.py b/wally/suits/io/fio_hist.py
index eb5d9ee..a2ded70 100644
--- a/wally/suits/io/fio_hist.py
+++ b/wally/suits/io/fio_hist.py
@@ -52,6 +52,6 @@
     return lower + (upper - lower) * edge
 
 
-def get_lat_vals(columns: int = 1216, coarseness: int = 0) -> List[float]:
+def get_lat_vals(columns: int = expected_lat_bins, coarseness: int = 0) -> List[float]:
     return [plat_idx_to_val_coarse(val, coarseness) for val in range(columns)]
 
diff --git a/wally/suits/io/fio_task_parser.py b/wally/suits/io/fio_task_parser.py
index bdcf4a3..6940aaf 100644
--- a/wally/suits/io/fio_task_parser.py
+++ b/wally/suits/io/fio_task_parser.py
@@ -12,7 +12,7 @@
 
 
 from ...result_classes import IStorable
-from ..itest import IterationConfig
+from ...result_classes import TestJobConfig
 from ...utils import sec_to_str, ssize2b
 
 
@@ -38,13 +38,16 @@
                        ("vm_count", int)])
 
 
-class FioJobSection(IterationConfig, IStorable):
+class FioJobConfig(TestJobConfig):
     def __init__(self, name: str) -> None:
-        self.name = name
+        TestJobConfig.__init__(self)
         self.vals = OrderedDict()  # type: Dict[str, Any]
-        self.summary = None
+        self.name = name
 
-    def copy(self) -> 'FioJobSection':
+    def __eq__(self, other: 'FioJobConfig') -> bool:
+        return self.vals == other.vals
+
+    def copy(self) -> 'FioJobConfig':
         return copy.deepcopy(self)
 
     def required_vars(self) -> Iterator[Tuple[str, Var]]:
@@ -56,7 +59,7 @@
         return len(list(self.required_vars())) == 0
 
     def __str__(self) -> str:
-        res = "[{0}]\n".format(self.name)
+        res = "[{0}]\n".format(self.summary)
 
         for name, val in self.vals.items():
             if name.startswith('_') or name == name.upper():
@@ -68,15 +71,18 @@
 
         return res
 
+    def __repr__(self) -> str:
+        return str(self)
+
     def raw(self) -> Dict[str, Any]:
         return {
-            'name': self.name,
-            'vals': list(map(list, self.vals.items())),
-            'summary': self.summary
+            'vals': [[key, val] for key, val in self.vals.items()],
+            'summary': self.summary,
+            'name': self.name
         }
 
     @classmethod
-    def fromraw(cls, data: Dict[str, Any]) -> 'FioJobSection':
+    def fromraw(cls, data: Dict[str, Any]) -> 'FioJobConfig':
         obj = cls(data['name'])
         obj.summary = data['summary']
         obj.vals.update(data['vals'])
@@ -160,7 +166,7 @@
             raise ParseError(str(exc), fname, lineno, oline)
 
 
-def fio_config_parse(lexer_iter: Iterable[CfgLine]) -> Iterator[FioJobSection]:
+def fio_config_parse(lexer_iter: Iterable[CfgLine]) -> Iterator[FioJobConfig]:
     in_globals = False
     curr_section = None
     glob_vals = OrderedDict()  # type: Dict[str, Any]
@@ -188,9 +194,7 @@
                 try:
                     cont = open(new_fname).read()
                 except IOError as err:
-                    msg = "Error while including file {0}: {1}"
-                    raise ParseError(msg.format(new_fname, err),
-                                     fname, lineno, oline)
+                    raise ParseError("Error while including file {}: {}".format(new_fname, err), fname, lineno, oline)
 
                 new_lines.extend(fio_config_lexer(cont, new_fname))
                 one_more = True
@@ -207,13 +211,11 @@
 
             if name == 'global':
                 if sections_count != 0:
-                    raise ParseError("[global] section should" +
-                                     " be only one and first",
-                                     fname, lineno, oline)
+                    raise ParseError("[global] section should be only one and first", fname, lineno, oline)
                 in_globals = True
             else:
                 in_globals = False
-                curr_section = FioJobSection(name)
+                curr_section = FioJobConfig(name)
                 curr_section.vals = glob_vals.copy()
             sections_count += 1
         else:
@@ -221,12 +223,9 @@
             if in_globals:
                 glob_vals[name] = val
             elif name == name.upper():
-                raise ParseError("Param '" + name +
-                                 "' not in [global] section",
-                                 fname, lineno, oline)
+                raise ParseError("Param {!r} not in [global] section".format(name), fname, lineno, oline)
             elif curr_section is None:
-                    raise ParseError("Data outside section",
-                                     fname, lineno, oline)
+                    raise ParseError("Data outside section", fname, lineno, oline)
             else:
                 curr_section.vals[name] = val
 
@@ -234,7 +233,7 @@
         yield curr_section
 
 
-def process_cycles(sec: FioJobSection) -> Iterator[FioJobSection]:
+def process_cycles(sec: FioJobConfig) -> Iterator[FioJobConfig]:
     cycles = OrderedDict()  # type: Dict[str, Any]
 
     for name, val in sec.vals.items():
@@ -270,7 +269,7 @@
 FioParams = Dict[str, FioParamsVal]
 
 
-def apply_params(sec: FioJobSection, params: FioParams) -> FioJobSection:
+def apply_params(sec: FioJobConfig, params: FioParams) -> FioJobConfig:
     processed_vals = OrderedDict()  # type: Dict[str, Any]
     processed_vals.update(params)
     for name, val in sec.vals.items():
@@ -307,7 +306,7 @@
 MAGIC_OFFSET = 0.1885
 
 
-def final_process(sec: FioJobSection, counter: List[int] = [0]) -> FioJobSection:
+def final_process(sec: FioJobConfig, counter: List[int] = [0]) -> FioJobConfig:
     sec = sec.copy()
 
     sec.vals['unified_rw_reporting'] = '1'
@@ -340,7 +339,7 @@
     return sec
 
 
-def get_test_sync_mode(sec: FioJobSection) -> str:
+def get_test_sync_mode(sec: FioJobConfig) -> str:
     if isinstance(sec, dict):
         vals = sec
     else:
@@ -359,7 +358,7 @@
         return 'a'
 
 
-def get_test_summary_tuple(sec: FioJobSection, vm_count: int = None) -> TestSumm:
+def get_test_summary_tuple(sec: FioJobConfig, vm_count: int = None) -> TestSumm:
     if isinstance(sec, dict):
         vals = sec
     else:
@@ -382,7 +381,7 @@
                     vm_count)
 
 
-def get_test_summary(sec: FioJobSection, vm_count: int = None, noiodepth: bool = False) -> str:
+def get_test_summary(sec: FioJobConfig, vm_count: int = None, noiodepth: bool = False) -> str:
     tpl = get_test_summary_tuple(sec, vm_count)
 
     res = "{0.oper}{0.mode}{0.bsize}".format(tpl)
@@ -395,11 +394,11 @@
     return res
 
 
-def execution_time(sec: FioJobSection) -> int:
+def execution_time(sec: FioJobConfig) -> int:
     return sec.vals.get('ramp_time', 0) + sec.vals.get('runtime', 0)
 
 
-def parse_all_in_1(source:str, fname: str = None) -> Iterator[FioJobSection]:
+def parse_all_in_1(source:str, fname: str = None) -> Iterator[FioJobConfig]:
     return fio_config_parse(fio_config_lexer(source, fname))
 
 
@@ -414,7 +413,7 @@
             yield res
 
 
-def get_log_files(sec: FioJobSection) -> List[Tuple[str, str]]:
+def get_log_files(sec: FioJobConfig) -> List[Tuple[str, str]]:
     res = []  # type: List[Tuple[str, str]]
     for key, name in (('write_iops_log', 'iops'), ('write_bw_log', 'bw'), ('write_hist_log', 'lat')):
         log = sec.vals.get(key)
@@ -423,7 +422,7 @@
     return res
 
 
-def fio_cfg_compile(source: str, fname: str, test_params: FioParams) -> Iterator[FioJobSection]:
+def fio_cfg_compile(source: str, fname: str, test_params: FioParams) -> Iterator[FioJobConfig]:
     it = parse_all_in_1(source, fname)
     it = (apply_params(sec, test_params) for sec in it)
     it = flatmap(process_cycles, it)
diff --git a/wally/suits/io/rrd.cfg b/wally/suits/io/rrd.cfg
index 850c9a3..ca3c613 100644
--- a/wally/suits/io/rrd.cfg
+++ b/wally/suits/io/rrd.cfg
@@ -1,7 +1,7 @@
 [global]
 include defaults_qd.cfg
 ramp_time=0
-runtime=600
+runtime=10
 
 [test_{TEST_SUMM}]
 blocksize=60k
diff --git a/wally/suits/itest.py b/wally/suits/itest.py
index 446ad69..bc6b115 100644
--- a/wally/suits/itest.py
+++ b/wally/suits/itest.py
@@ -1,17 +1,19 @@
+import re
 import abc
 import time
+import array
+import struct
 import logging
 import os.path
 import datetime
-from typing import Dict, Any, List, Optional, Callable, cast
+from typing import Any, List, Optional, Callable, cast, Iterator, Tuple, Iterable
 
-from concurrent.futures import ThreadPoolExecutor, wait
+from concurrent.futures import ThreadPoolExecutor, wait, Future
 
-from ..utils import Barrier, StopTestError, sec_to_str
+from ..utils import StopTestError, sec_to_str, get_time_interval_printable_info
 from ..node_interfaces import IRPCNode
 from ..storage import Storage
-from ..result_classes import NodeTestResults, IStorable
-from queue import Queue
+from ..result_classes import TestSuiteConfig, TestJobConfig, JobMetrics, TimeSeries
 
 
 logger = logging.getLogger("wally")
@@ -20,35 +22,125 @@
 __doc__ = "Contains base classes for performance tests"
 
 
-class TestInputConfig:
-    """
-    this class describe test input configuration
+class ResultStorage:
+    ts_header_format = "!IIIcc"
 
-    test_type - test type name
-    params - parameters from yaml file for this test
-    test_uuid - UUID to be used to create file names & Co
-    log_directory - local directory to store results
-    nodes - nodes to run tests on
-    remote_dir - directory on nodes to be used for local files
-    """
-    def __init__(self,
-                 test_type: str,
-                 params: Dict[str, Any],
-                 run_uuid: str,
-                 nodes: List[IRPCNode],
-                 storage: Storage,
-                 remote_dir: str) -> None:
-        self.test_type = test_type
-        self.params = params
-        self.run_uuid = run_uuid
-        self.nodes = nodes
+    def __init__(self, storage: Storage, job_config_cls: type) -> None:
         self.storage = storage
-        self.remote_dir = remote_dir
+        self.job_config_cls = job_config_cls
 
+    def get_suite_root(self, suite_type: str, idx: int) -> str:
+        return "results/{}_{}".format(suite_type, idx)
 
-class IterationConfig(IStorable):
-    name = None  # type: str
-    summary = None  # type: str
+    def get_job_root(self, suite_root: str, summary: str, run_id: int) -> str:
+        return "{}/{}_{}".format(suite_root, summary, run_id)
+
+    # store
+    def put_suite_config(self, config: TestSuiteConfig, root: str) -> None:
+        self.storage.put(config, root, "config.yml")
+
+    def put_job_config(self, config: TestJobConfig, root: str) -> None:
+        self.storage.put(config, root, "config.yml")
+
+    def get_suite_config(self, suite_root: str) -> TestSuiteConfig:
+        return self.storage.load(TestSuiteConfig, suite_root, "config.yml")
+
+    def get_job_node_prefix(self, job_root_path: str, node_id: str) -> str:
+        return "{}/{}".format(job_root_path, node_id)
+
+    def get_ts_path(self, job_root_path: str, node_id: str, dev: str, sensor_name: str) -> str:
+        return "{}_{}.{}".format(self.get_job_node_prefix(job_root_path, node_id), dev, sensor_name)
+
+    def put_ts(self, ts: TimeSeries, job_root_path: str, node_id: str, dev: str, sensor_name: str) -> None:
+        # TODO: check that 'metrics', 'dev' and 'node_id' match required patterns
+        root_path = self.get_ts_path(job_root_path, node_id, dev, sensor_name)
+
+        if len(ts.data) / ts.second_axis_size != len(ts.times):
+            logger.error("Unbalanced time series data. Array size has % elements, while time size has %",
+                         len(ts.data) / ts.second_axis_size, len(ts.times))
+            raise StopTestError()
+
+        with self.storage.get_fd(root_path, "cb") as fd:
+            header = struct.pack(self.ts_header_format,
+                                 ts.second_axis_size,
+                                 len(ts.data),
+                                 len(ts.times),
+                                 cast(array.array, ts.data).typecode.encode("ascii"),
+                                 cast(array.array, ts.times).typecode.encode("ascii"))
+            fd.write(header)
+            cast(array.array, ts.data).tofile(fd)
+            cast(array.array, ts.times).tofile(fd)
+
+        if ts.raw is not None:
+            self.storage.put_raw(ts.raw, root_path + ":raw")
+
+    def put_extra(self, job_root: str, node_id: str, key: str, data: bytes) -> None:
+        self.storage.put_raw(data, job_root, node_id + "_" + key)
+
+    def list_suites(self) -> Iterator[Tuple[TestSuiteConfig, str]]:
+        """iterates over (suite_name, suite_id, suite_root_path)
+        primary this function output should be used as input into list_jobs_in_suite method
+        """
+        ts_re = re.compile(r"[a-zA-Z]+_\d+$")
+        for is_file, name in self.storage.list("results"):
+            if not is_file:
+                rr = ts_re.match(name)
+                if rr:
+                    path = "results/" + name
+                    yield self.get_suite_config(path), path
+
+    def list_jobs_in_suite(self, suite_root_path: str) -> Iterator[Tuple[TestJobConfig, str, int]]:
+        """iterates over (job_summary, job_root_path)
+        primary this function output should be used as input into list_ts_in_job method
+        """
+        ts_re = re.compile(r"(?P<job_summary>[a-zA-Z0-9]+)_(?P<id>\d+)$")
+        for is_file, name in self.storage.list(suite_root_path):
+            if is_file:
+                continue
+            rr = ts_re.match(name)
+            if rr:
+                config_path = "{}/{}/config.yml".format(suite_root_path, name)
+                if config_path in self.storage:
+                    cfg = self.storage.load(self.job_config_cls, config_path)
+                    yield cfg, "{}/{}".format(suite_root_path, name), int(rr.group("id"))
+
+    def list_ts_in_job(self, job_root_path: str) -> Iterator[Tuple[str, str, str]]:
+        """iterates over (node_id, device_name, sensor_name)
+        primary this function output should be used as input into load_ts method
+        """
+        # TODO: check that all TS files available
+        ts_re = re.compile(r"(?P<node_id>\d+\.\d+\.\d+\.\d+:\d+)_(?P<dev>[^.]+)\.(?P<sensor>[a-z_]+)$")
+        already_found = set()
+        for is_file, name in self.storage.list(job_root_path):
+            if not is_file:
+                continue
+            rr = ts_re.match(name)
+            if rr:
+                key = (rr.group("node_id"), rr.group("dev"), rr.group("sensor"))
+                if key not in already_found:
+                    already_found.add(key)
+                    yield key
+
+    def load_ts(self, root_path: str, node_id: str, dev: str, sensor_name: str) -> TimeSeries:
+        path = self.get_ts_path(root_path, node_id, dev, sensor_name)
+
+        with self.storage.get_fd(path, "rb") as fd:
+            header = fd.read(struct.calcsize(self.ts_header_format))
+            second_axis_size, data_sz, time_sz, data_typecode, time_typecode = \
+                struct.unpack(self.ts_header_format, header)
+
+            data = array.array(data_typecode.decode("ascii"))
+            times = array.array(time_typecode.decode("ascii"))
+
+            data.fromfile(fd, data_sz)
+            times.fromfile(fd, time_sz)
+
+            # calculate number of elements
+            return TimeSeries("{}.{}".format(dev, sensor_name),
+                              raw=None,
+                              data=data,
+                              times=times,
+                              second_axis_size=second_axis_size)
 
 
 class PerfTest(metaclass=abc.ABCMeta):
@@ -56,13 +148,16 @@
     name = None  # type: str
     max_retry = 3
     retry_time = 30
+    job_config_cls = None  # type: type
 
-    def __init__(self, config: TestInputConfig, on_idle: Callable[[], None] = None) -> None:
+    def __init__(self, storage: Storage, config: TestSuiteConfig, idx: int, on_idle: Callable[[], None] = None) -> None:
         self.config = config
         self.stop_requested = False
-        self.nodes = self.config.nodes  # type: List[IRPCNode]
-        self.sorted_nodes_ids = sorted(node.info.node_id() for node in self.nodes)
+        self.sorted_nodes_ids = sorted(node.info.node_id() for node in self.config.nodes)
         self.on_idle = on_idle
+        self.storage = storage
+        self.rstorage = ResultStorage(self.storage, self.job_config_cls)
+        self.idx = idx
 
     def request_stop(self) -> None:
         self.stop_requested = True
@@ -90,174 +185,147 @@
 
     def __init__(self, *args, **kwargs) -> None:
         PerfTest.__init__(self, *args, **kwargs)
-        self.iterations_configs = [None]  # type: List[Optional[IterationConfig]]
-        self.storage_q = Queue()  # type: Any
+        self.job_configs = [None]  # type: List[Optional[TestJobConfig]]
+        self.suite_root_path = self.rstorage.get_suite_root(self.config.test_type, self.idx)
 
     @abc.abstractmethod
-    def get_expected_runtime(self, iter_cfg: IterationConfig) -> Optional[int]:
+    def get_expected_runtime(self, iter_cfg: TestJobConfig) -> Optional[int]:
         pass
 
-    def get_not_done_stages(self, storage: Storage) -> Dict[int, IterationConfig]:
-        not_done = {}  # type: Dict[int, IterationConfig]
+    def get_not_done_stages(self) -> Iterable[Tuple[int, TestJobConfig]]:
+        all_jobs = dict(enumerate(self.job_configs))
+        for db_config, path, jid in self.rstorage.list_jobs_in_suite(self.suite_root_path):
+            if jid in all_jobs:
+                job_config = all_jobs[jid]
+                if job_config != db_config:
+                    logger.error("Test info at path '%s/config' is not equal to expected config for iteration %s.%s." +
+                                 " Maybe configuration was changed before test was restarted. " +
+                                 "DB cfg is:\n    %s\nExpected cfg is:\n    %s\nFix DB or rerun test from beginning",
+                                 path, self.name, job_config.summary,
+                                 str(db_config).replace("\n", "\n    "),
+                                 str(job_config).replace("\n", "\n    "))
+                    raise StopTestError()
 
-        for run_id, iteration_config in enumerate(self.iterations_configs):
-            info_path = "result/{}/info".format(run_id)
-            if info_path in storage:
-                info = cast(Dict[str, Any], storage.get(info_path)) # type: Dict[str, Any]
-
-                assert isinstance(info, dict), \
-                    "Broken storage at path {}. Expect test info dict, obtain {!r}".format(info_path, info)
-
-                info = info.copy()
-                del info['begin_time']
-                del info['end_time']
-
-                iter_name = "Unnamed" if iteration_config is None else iteration_config.name
-                expected_config = {
-                    'name': self.name,
-                    'iteration_name': iter_name,
-                    'iteration_config': iteration_config.raw(),
-                    'params': self.config.params,
-                    'nodes': self.sorted_nodes_ids
-                }
-
-                assert info == expected_config, \
-                    ("Test info at path {} is not equal to expected config." +
-                     "Maybe configuration was changed before test was restarted. " +
-                     "Current cfg is {!r}, expected cfg is {!r}").format(info_path, info, expected_config)
-
-                logger.info("Test iteration {} found in storage and will be skipped".format(iter_name))
-            else:
-                not_done[run_id] = iteration_config
-
-        return not_done
+                logger.info("Test iteration %s.%s found in storage and will be skipped",
+                            self.name, job_config.summary)
+                del all_jobs[jid]
+        return all_jobs.items()
 
     def run(self) -> None:
-        not_in_storage = self.get_not_done_stages(self.config.storage)
+        try:
+            cfg = self.rstorage.get_suite_config(self.suite_root_path)
+        except KeyError:
+            cfg = None
+
+        if cfg is not None and cfg != self.config:
+            logger.error("Current suite %s config is not equal to found in storage at %s",
+                         self.config.test_type, self.suite_root_path)
+            raise StopTestError()
+
+        not_in_storage = list(self.get_not_done_stages())
 
         if not not_in_storage:
             logger.info("All test iteration in storage already. Skip test")
             return
 
-        logger.debug("Run test io.{} with profile {!r} on nodes {}.".format(self.name,
-                                                                          self.load_profile_name,
-                                                                          ",".join(self.sorted_nodes_ids)))
+        self.rstorage.put_suite_config(self.config, self.suite_root_path)
+
+        logger.debug("Run test %s with profile %r on nodes %s.", self.name,
+                                                                 self.load_profile_name,
+                                                                 ",".join(self.sorted_nodes_ids))
         logger.debug("Prepare nodes")
 
-        with ThreadPoolExecutor(len(self.nodes)) as pool:
-            list(pool.map(self.config_node, self.nodes))
 
-            # +5% - is a rough estimation for additional operations
-            run_times = [self.get_expected_runtime(iteration_config) for iteration_config in not_in_storage.values()]
+        with ThreadPoolExecutor(len(self.config.nodes)) as pool:
+            # config nodes
+            list(pool.map(self.config_node, self.config.nodes))
+
+            run_times = [self.get_expected_runtime(job_config) for _, job_config in not_in_storage]
+
             if None not in run_times:
+                # +5% - is a rough estimation for additional operations
                 expected_run_time = int(sum(run_times) * 1.05)
-                exec_time_s = sec_to_str(expected_run_time)
-                now_dt = datetime.datetime.now()
-                end_dt = now_dt + datetime.timedelta(0, expected_run_time)
-                logger.info("Entire test should takes aroud: {} and finished at {:%H:%M:%S}"
-                            .format(exec_time_s, end_dt))
 
-            for run_id, iteration_config in sorted(not_in_storage.items()):
-                iter_name = "Unnamed" if iteration_config is None else iteration_config.name
-                logger.info("Run test iteration %s", iter_name)
+                exec_time_s, end_dt_s = get_time_interval_printable_info(expected_run_time)
+                logger.info("Entire test should takes around %s and finished at %s", exec_time_s, end_dt_s)
 
-                current_result_path = "result/{}_{}".format(iteration_config.summary, run_id)
-                results = []  # type: List[NodeTestResults]
+            for run_id, job_config in not_in_storage:
+                job_path = self.rstorage.get_job_root(self.suite_root_path, job_config.summary, run_id)
+
+                jfutures = []  # type: List[Future]
                 for idx in range(self.max_retry):
-                    logger.debug("Prepare iteration %s", iter_name)
+                    logger.debug("Prepare job %s", job_config.summary)
 
                     # prepare nodes for new iterations
-                    futures = [pool.submit(self.prepare_iteration, node, iteration_config) for node in self.nodes]
-                    wait(futures)
+                    wait([pool.submit(self.prepare_iteration, node, job_config) for node in self.config.nodes])
 
-                    # run iteration
-                    logger.debug("Run iteration %s", iter_name)
+                    expected_job_time = self.get_expected_runtime(job_config)
+                    exec_time_s, end_dt_s = get_time_interval_printable_info(expected_job_time)
+                    logger.info("Job should takes around %s and finished at %s", exec_time_s, end_dt_s)
+
                     try:
-                        futures = []
-                        for node in self.nodes:
-                            path = "{}/measurement/{}".format(current_result_path, node.info.node_id())
-                            futures.append(pool.submit(self.run_iteration, node, iteration_config, path))
-
-                        results = [fut.result() for fut in futures]
+                        jfutures = []
+                        for node in self.config.nodes:
+                            future = pool.submit(self.run_iteration, node, job_config, job_path)
+                            jfutures.append(future)
+                        # test completed successfully, stop retrying
                         break
                     except EnvironmentError:
                         if self.max_retry - 1 == idx:
                             logger.exception("Fio failed")
                             raise StopTestError()
                         logger.exception("During fio run")
-                        logger.info("Sleeping %ss and retrying", self.retry_time)
+                        logger.info("Sleeping %ss and retrying job", self.retry_time)
                         time.sleep(self.retry_time)
 
                 start_times = []  # type: List[int]
                 stop_times = []  # type: List[int]
 
-                # TODO: FIX result processing - NodeTestResults
-                for result in results:
-                    for name, serie in result.series.items():
-                        start_times.append(serie.start_at)
-                        stop_times.append(serie.step * len(serie.data))
+                for future in jfutures:
+                    for (node_id, dev, sensor_name), ts in future.result().items():
+                        self.rstorage.put_ts(ts, job_path, node_id=node_id, dev=dev, sensor_name=sensor_name)
 
-                min_start_time = min(start_times)
-                max_start_time = max(start_times)
-                min_stop_time = min(stop_times)
-                max_stop_time = max(stop_times)
+                        if len(ts.times) >= 2:
+                            start_times.append(ts.times[0])
+                            stop_times.append(ts.times[-1])
 
-                max_allowed_time_diff = int((min_stop_time - max_start_time) * self.max_rel_time_diff)
-                max_allowed_time_diff = max(max_allowed_time_diff, self.max_time_diff)
+                if len(start_times) > 0:
+                    min_start_time = min(start_times)
+                    max_start_time = max(start_times)
+                    min_stop_time = min(stop_times)
+                    max_stop_time = max(stop_times)
 
-                if min_start_time + self.max_time_diff < max_allowed_time_diff:
-                    logger.warning("Too large difference in {}:{} start time - {}. Max recommended difference is {}"
-                                   .format(self.name, iter_name, max_start_time - min_start_time, self.max_time_diff))
+                    max_allowed_time_diff = int((min_stop_time - max_start_time) * self.max_rel_time_diff)
+                    max_allowed_time_diff = max(max_allowed_time_diff, self.max_time_diff)
 
-                if min_stop_time + self.max_time_diff < max_allowed_time_diff:
-                    logger.warning("Too large difference in {}:{} stop time - {}. Max recommended difference is {}"
-                                   .format(self.name, iter_name, max_start_time - min_start_time, self.max_time_diff))
+                    if min_start_time + self.max_time_diff < max_allowed_time_diff:
+                        logger.warning("Too large difference in %s:%s start time - %s. " +
+                                       "Max recommended difference is %s",
+                                       self.name, job_config.summary,
+                                       max_start_time - min_start_time, self.max_time_diff)
 
-                test_config = {
-                    'suite': 'io',
-                    'test': self.name,
-                    'profile': self.load_profile_name,
-                    'iteration_name': iter_name,
-                    'iteration_config': iteration_config.raw(),
-                    'params': self.config.params,
-                    'nodes': self.sorted_nodes_ids,
-                    'begin_time': min_start_time,
-                    'end_time': max_stop_time
-                }
+                    if min_stop_time + self.max_time_diff < max_allowed_time_diff:
+                        logger.warning("Too large difference in %s:%s stop time - %s. " +
+                                       "Max recommended difference is %s",
+                                       self.name, job_config.summary,
+                                       max_start_time - min_start_time, self.max_time_diff)
 
-                self.process_storage_queue()
-                self.config.storage.put(test_config, current_result_path, "info")
-                self.config.storage.sync()
+                self.rstorage.put_job_config(job_config, job_path)
+                self.storage.sync()
 
                 if self.on_idle is not None:
                     self.on_idle()
 
-    def store_data(self, val: Any, type: str, prefix: str, *path: str) -> None:
-        self.storage_q.put((val, type, prefix, path))
-
-    def process_storage_queue(self) -> None:
-        while not self.storage_q.empty():
-            value, val_type, subpath, val_path = self.storage_q.get()
-            if val_type == 'raw':
-                self.config.storage.put_raw(value, subpath, *val_path)
-            elif val_type == 'yaml':
-                self.config.storage.put(value, subpath, *val_path)
-            elif val_type == 'array':
-                self.config.storage.put_array(value, subpath, *val_path)
-            else:
-                logger.error("Internal logic error - unknown data stop type {!r}".format(val_path))
-                raise StopTestError()
-
     @abc.abstractmethod
     def config_node(self, node: IRPCNode) -> None:
         pass
 
     @abc.abstractmethod
-    def prepare_iteration(self, node: IRPCNode, iter_config: IterationConfig) -> None:
+    def prepare_iteration(self, node: IRPCNode, iter_config: TestJobConfig) -> None:
         pass
 
     @abc.abstractmethod
-    def run_iteration(self, node: IRPCNode, iter_config: IterationConfig, stor_prefix: str) -> NodeTestResults:
+    def run_iteration(self, node: IRPCNode, iter_config: TestJobConfig, stor_prefix: str) -> JobMetrics:
         pass
 
 
@@ -270,7 +338,7 @@
         self.run_tout = self.config.params.get('run_tout', 3600)
         self.iterations_configs = [None]
 
-    def get_expected_runtime(self, iter_cfg: IterationConfig) -> Optional[int]:
+    def get_expected_runtime(self, iter_cfg: TestJobConfig) -> Optional[int]:
         return None
 
     def config_node(self, node: IRPCNode) -> None:
@@ -281,16 +349,16 @@
         cmd += ' ' + self.config.params.get('prerun_opts', '')
         node.run(cmd, timeout=self.prerun_tout)
 
-    def prepare_iteration(self, node: IRPCNode, iter_config: IterationConfig) -> None:
+    def prepare_iteration(self, node: IRPCNode, iter_config: TestJobConfig) -> None:
         pass
 
-    def run_iteration(self, node: IRPCNode, iter_config: IterationConfig, stor_prefix: str) -> NodeTestResults:
+    def run_iteration(self, node: IRPCNode, iter_config: TestJobConfig, stor_prefix: str) -> JobMetrics:
         # TODO: have to store logs
         cmd = self.join_remote(self.run_script)
         cmd += ' ' + self.config.params.get('run_opts', '')
         return self.parse_results(node.run(cmd, timeout=self.run_tout))
 
     @abc.abstractmethod
-    def parse_results(self, data: str) -> NodeTestResults:
+    def parse_results(self, data: str) -> JobMetrics:
         pass
 
diff --git a/wally/utils.py b/wally/utils.py
index 13cd675..078a019 100644
--- a/wally/utils.py
+++ b/wally/utils.py
@@ -1,12 +1,12 @@
 import re
 import os
-import abc
 import sys
 import math
 import time
 import uuid
 import socket
 import logging
+import datetime
 import ipaddress
 import threading
 import contextlib
@@ -59,52 +59,10 @@
         raise StopTestError(self.message) from value
 
 
-class IStorable(metaclass=abc.ABCMeta):
-    """Interface for type, which can be stored"""
-
-    @abc.abstractmethod
-    def raw(self) -> Dict[str, Any]:
-        pass
-
-    @abc.abstractclassmethod
-    def fromraw(cls, data: Dict[str, Any]) -> 'IStorable':
-        pass
-
-
-Basic = Union[int, str, bytes, bool, None]
-Storable = Union[IStorable, Dict[str, Any], List[Any], int, str, bytes, bool, None]
-
-
 class TaskFinished(Exception):
     pass
 
 
-class Barrier:
-    def __init__(self, count: int) -> None:
-        self.count = count
-        self.curr_count = 0
-        self.cond = threading.Condition()
-        self.exited = False
-
-    def wait(self, timeout: int=None) -> bool:
-        with self.cond:
-            if self.exited:
-                raise TaskFinished()
-
-            self.curr_count += 1
-            if self.curr_count == self.count:
-                self.curr_count = 0
-                self.cond.notify_all()
-                return True
-            else:
-                self.cond.wait(timeout=timeout)
-                return False
-
-    def exit(self) -> None:
-        with self.cond:
-            self.exited = True
-
-
 class Timeout(Iterable[float]):
     def __init__(self, timeout: int, message: str = None, min_tick: int = 1, no_exc: bool = False) -> None:
         self.end_time = time.time() + timeout
@@ -477,3 +435,10 @@
         ip_addr = socket.gethostbyname(host_or_ip)
         logger.info("Will use ip_addr %r instead of hostname %r", ip_addr, host_or_ip)
         return ip_addr
+
+
+def get_time_interval_printable_info(seconds: int) -> Tuple[str, str]:
+    exec_time_s = sec_to_str(seconds)
+    now_dt = datetime.datetime.now()
+    end_dt = now_dt + datetime.timedelta(0, seconds)
+    return exec_time_s, "{:%H:%M:%S}".format(end_dt)