公开(公告)号：US10474523B1

公开(公告)日：2019-11-12

申请号：US15796010

申请日：2017-10-27

Applicant: EMC IP Holding Company LLC

Inventor： Ran Taig ,  Amihai Savir ,  Avitan Gefen

IPC: G06F11/07

Abstract: An automated agent for the causal mapping of complex environments. Specifically, a disclosed method and system entails the application of statistical tools, or causality tests, to measure the strength and direction of causal relations between two or more environment components. Further, the execution of the causality tests may be an offline process that may be triggered periodically to account for changes or updates to an environment over time.

公开(公告)号：US11132288B2

公开(公告)日：2021-09-28

申请号：US15963413

申请日：2018-04-26

Applicant: EMC IP Holding Company LLC

Inventor： Avitan Gefen ,  Omer Sagi ,  Ran Taig

IPC: G06F11/36 ,  G06N20/00

Abstract: Techniques are provided for data-driven scheduling of automated software program test suites. An exemplary method comprises: obtaining a plurality of test cases that test software programs; obtaining a failure likelihood for each of the plurality of test cases; and scheduling the test cases in an order based on the failure likelihoods. Generally, test cases that are more likely to fail are scheduled before test cases that are less likely to fail. Dependencies and/or priorities among the plurality of test cases are also optionally obtained and the scheduling of the test cases is based on the dependencies and/or priorities. The dependencies among the plurality of test cases comprise, for example, an indication of whether a given test case constrains one or more additional test cases.

公开(公告)号：US10963469B2

公开(公告)日：2021-03-30

申请号：US15876188

申请日：2018-01-21

Applicant: EMC IP Holding Company LLC

Inventor： Ran Taig ,  Avitan Gefen ,  Omer Sagi

IPC: G06F16/30 ,  G06F16/2457 ,  G06F16/22 ,  G06F16/901 ,  H04L29/08

Abstract: Embodiments include facilitating DNA storage of digital data including a plurality of data assets in a network by building a causal graph of the network and the relationship of the data assets; computing a value of each data asset; computing, using the causal graph and data values, a radius of recovery for each data asset; classifying each data asset as appropriate DNA stored by assigning a numerical ranking of each data asset; defining manual constraints and a DNA storage configuration; and generating a ranked list of recommended data assets for storing in the DNA storage using the classification, manual constraints and DNA storage configuration.

公开(公告)号：US10929245B1

公开(公告)日：2021-02-23

申请号：US15282873

申请日：2016-09-30

Applicant: EMC IP Holding Company LLC

Inventor： Assaf Natanzon ,  Amihai Savir ,  Oshry Ben-Harush ,  Anat Parush Tzur ,  Ran Taig

IPC: G06F11/14 ,  G06Q30/02 ,  G06F21/60

Abstract: Flexible scheduling for backup jobs includes backup policies that allow for flexibility in scheduling execution time, and an automated data driven backup job execution scheduler. The scheduler balances load on the customer's and data protection system's resources using a dynamic pricing calculator that takes into account the real-time and predicted near-future status of the protection environment. The backup job scheduler includes a user interface that enables users to specify user-customized backup policies that enable flexibility in scheduling execution times and transparency in pricing.

公开(公告)号：US20190228296A1

公开(公告)日：2019-07-25

申请号：US15876025

申请日：2018-01-19

Applicant: EMC IP Holding Company LLC

Inventor： Avitan Gefen ,  Amihai Savir ,  Ran Taig

IPC: G06N3/08 ,  G06N3/04 ,  G06N7/00

Abstract: Embodiments for identifying significant events for finding a root cause of an anomaly collecting time series data for events for each network device by detecting an anomaly in the time series data comprising an outlier on an edge of the time series data by comparing a predicted value of the event to an actual value of the event using a selected forecasting model; declaring the event to be an anomaly at a particular time if a difference between the predicted value and actual value exceed a defined threshold based on residual values for other devices; analyzing in a combined RNN/LSTM process all events for all devices of the network within a time proximity of the particular time of the anomaly to filter usual events and rank each event relative to the anomaly; and displaying a labeled chart of the time series data showing the anomaly in a graph relative to all the events.

公开(公告)号：US11106633B2

公开(公告)日：2021-08-31

申请号：US15960945

申请日：2018-04-24

Applicant: EMC IP Holding Company LLC

Inventor： Omer Sagi ,  Avitan Gefen ,  Ran Taig

IPC: G06F16/174 ,  G06F16/13 ,  G16B45/00 ,  G16B50/00

Abstract: A DNA storage system for binary digital data. The digital data is deduplicated is encoded into a format for representation in DNA, and DNA representing the data is synthesized and stored in pools in a primary library, a hash library and a data library. The primary library stores DNA for accessing a hash object in the hash library corresponding to a hash of the data, and the hash library stores DNA for accessing a data object in the data library that contains the data. The information in the libraries includes information identifying objects, including keys, unique identifiers (UIDs), pool identifiers, and primers.

公开(公告)号：US20190332523A1

公开(公告)日：2019-10-31

申请号：US15963413

申请日：2018-04-26

Applicant: EMC IP Holding Company LLC

Inventor： Avitan Gefen ,  Omer Sagi ,  Ran Taig

IPC: G06F11/36 ,  G06N99/00

Abstract: Techniques are provided for data-driven scheduling of automated software program test suites. An exemplary method comprises: obtaining a plurality of test cases that test software programs; obtaining a failure likelihood for each of the plurality of test cases; and scheduling the test cases in an order based on the failure likelihoods. Generally, test cases that are more likely to fail are scheduled before test cases that are less likely to fail. Dependencies and/or priorities among the plurality of test cases are also optionally obtained and the scheduling of the test cases is based on the dependencies and/or priorities. The dependencies among the plurality of test cases comprise, for example, an indication of whether a given test case constrains one or more additional test cases.

公开(公告)号：US20190228353A1

公开(公告)日：2019-07-25

申请号：US15875924

申请日：2018-01-19

Applicant: EMC IP Holding Company LLC

Inventor： Avitan Gefen ,  Amihai Savir ,  Ran Taig ,  Shai Harmelin ,  Idan Levy

IPC: G06Q10/06

Abstract: Embodiments include detecting anomalies in an IT environment using model competition and business patterns by collecting time series data for events for the network including devices and interfaces. An analytics module uses competing time series models with customizable business patterns to find the best fit model. It analyzes the residuals of the best fitting model to find the outliers relative to normal zone data points. A user may classify a detected outlier as normal, in which case, the tracking and investigation mechanism suggests alternate business patterns to be matched against this outlier. A user interface displays a dashboard to present the user with anomalies in the chosen time series, such as in interactive graphical format.

公开(公告)号：US10795895B1

公开(公告)日：2020-10-06

申请号：US15794387

申请日：2017-10-26

Applicant: EMC IP Holding Company LLC

Inventor： Ran Taig ,  Avitan Gefen ,  Omer Sagi

IPC: G06F16/00 ,  G06F16/2457 ,  G06F16/14 ,  G06F16/335 ,  G06F16/901

Abstract: Business Data Lake searching techniques are provided. A method comprises obtaining a graph representing tables of the Business Data Lake, where each node represents one table and edges between nodes represent foreign key connections; applying a node rank algorithm to determine a relevancy score of the tables based on a number of links to/from other tables; and, in response to a query: ranking a relevancy of query items based on a term frequency-based score to generate candidate results; extracting a candidate sub-graph based on the following: a top-L tables based on the term frequency-based score, and/or a top-M tables based on a topic model distance score for the given query and candidate items; enriching the extracted candidate sub-graph by adding new tables using an item-to-item collaborative filter where a similarity between two tables is measured based on a number of interactions; and ordering the tables in the enriched sub-graph based on the relevancy score and/or a user-to-item collaborative filter that evaluates past user interactions with prior results.

公开(公告)号：US20190325040A1

公开(公告)日：2019-10-24

申请号：US15960945

申请日：2018-04-24

Applicant: EMC IP Holding Company LLC

Inventor： Omer Sagi ,  Avitan Gefen ,  Ran Taig

IPC: G06F17/30 ,  G06F19/28 ,  G06F19/26

Abstract: A DNA storage system for binary digital data. The digital data is deduplicated is encoded into a format for representation in DNA, and DNA representing the data is synthesized and stored in pools in a primary library, a hash library and a data library. The primary library stores DNA for accessing a hash object in the hash library corresponding to a hash of the data, and the hash library stores DNA for accessing a data object in the data library that contains the data. The information in the libraries includes information identifying objects, including keys, unique identifiers (UIDs), pool identifiers, and primers.