公开(公告)号：US10346393B2

公开(公告)日：2019-07-09

申请号：US14518506

申请日：2014-10-20

Applicant: International Business Machines Corporation

Inventor： Udayan Khurana ,  Srinivasan Parthasarathy ,  Venkata N. Pavuluri ,  Deepak S. Turaga ,  Long H. Vu

IPC: G06F16/242 ,  G06F16/245 ,  G06F16/248 ,  G06F16/332 ,  G06F16/2455

Abstract: Embodiments relate to analyzing dataset. A method of analyzing data is provided. The method obtains a description of a dataset. The method automatically generates a plurality of analysis options from the description of the dataset. The method generates a plurality of queries based on the analysis options. The method deploys the queries on the dataset to build a plurality of statistical models from the dataset.

公开(公告)号：US20180025286A1

公开(公告)日：2018-01-25

申请号：US15218316

申请日：2016-07-25

Applicant: International Business Machines Corporation

Inventor： Leonid Gorelik ,  Nancy L. Navarro ,  Srinivasan Parthasarathy ,  Alexander Pyasik ,  Yifat Yulevich

IPC: G06N99/00 ,  G06F17/50

CPC classification number: G06N20/00 ,  G06F17/5009

Abstract: A computer-implemented method includes receiving data representing pre-existing instances of an analytics model developed over time; detecting changes in state of the analytics model over time to detect trends; generating a new instance of the analytics model that has been modified based on detected trends in the analytics model; generating new training data based on discovered trends of the analytics model over time; comparing a coverage of the new instance of the analytics model and coverages of the pre-existing instances of the analytics model with the new training data; and determining whether new instance of the analytics model have better coverage than the pre-existing instances of the analytics model with the new training data. A corresponding computer program product and system are also disclosed.

公开(公告)号：US20130346411A1

公开(公告)日：2013-12-26

申请号：US14011175

申请日：2013-08-27

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： WEI FAN ,  Jing Gao ,  Srinivasan Parthasarathy ,  Deepak Turaga

IPC: G06F17/30

CPC classification number: G06F17/30598 ,  G11B27/32

Abstract: A horizontal anomaly detection method includes receiving at plurality of objects described in a plurality of information sources, wherein each individual information source captures a plurality of similarity relationships between the objects, combining the information sources to determine a similarity matrix whose entries represent quantitative scores of similarity between pairs of the objects, and identifying at least one horizontal anomaly of the objects within the similarity matrix, wherein the horizontal anomalies are anomalous relationships across the plurality of information sources.

公开(公告)号：US20220027331A1

公开(公告)日：2022-01-27

申请号：US16937425

申请日：2020-07-23

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jinho Hwang ,  Larisa Shwartz ,  Srinivasan Parthasarathy ,  Qing Wang ,  Raghuram Srinivasan ,  Gene L. Brown ,  Michael Elton Nidd ,  Frank Bagehorn ,  Jakub Krchák ,  Ota Sandr ,  Tomáš Ondrej ,  Michal Mýlek ,  Altynbek Orumbayev

IPC: G06F16/215 ,  G06N5/02 ,  G06N5/04 ,  G06N20/00

Abstract: A computer-implemented method of cross-environment event correlation includes determining one or more correlated events about an issue across a plurality of domains. A knowledge data is extracted from the issue determined from the one or more correlated events is performed. A correlation graph is generated from the extracted knowledge to trace the issue and group the correlated events into one or more event groups to represent their relationship with the issue. A logical reasoning description is constructed based on the generated correlation graph for a domain-space exploration related to how the issue in one domain affects another domain of the plurality of domains. The one or more event groups of correlated events is provided with an explanation about a cause of the issue based on the logical reasoning description.

公开(公告)号：US20210373861A1

公开(公告)日：2021-12-02

申请号：US16882811

申请日：2020-05-26

Applicant: International Business Machines Corporation

Inventor： Srinivasan Parthasarathy ,  Jinho HWANG ,  Qing Wang ,  Larisa Shwartz ,  Michael Elton Nidd ,  Frank Bagehorn ,  Jakub Krchák ,  Altynbek Orumbayev ,  Michal Mýlek ,  Ota Sandr ,  Tomás Ondrej

IPC: G06F8/41 ,  G06F16/245 ,  G06F8/75

Abstract: A computer implemented method for identifying an application topology includes identifying a sandbox environment corresponding to an application of interest, analyzing the sandbox environment to identify a set of communication links between services within the sandbox environment indicating a first topology, identifying a production system corresponding to the application of interest, querying the production system to identify a set of structural dependencies indicating a second topology, and creating a complete topology of the cloud application by combining the first topology and the second topology. A computer program product and computer system for identifying an application topology are additionally disclosed herein.

公开(公告)号：US10115057B2

公开(公告)日：2018-10-30

申请号：US15018411

申请日：2016-02-08

Applicant: International Business Machines Corporation

Inventor： Yanjie Fu ,  Srinivasan Parthasarathy ,  Deepak Turaga

IPC: G06N5/04 ,  G06N99/00

Abstract: A computer program product is provided for estimating algorithm run times given parameters of the algorithm, specifications of an architecture on which the algorithm will execute and dimensions of a data set which will be input into the algorithm. The computer program product includes instructions to cause a processing circuit to create training data sets, generate run time data of executions of instances of the algorithm on the architecture for each training data set, identify model-usable features, generate a map of the model-usable features to an expression of the run time data and iteratively tuning the model-usable features toward improving map accuracy until a target map accuracy is achieved, develop a predictive model based on iteratively tuned versions of the model-usable features and estimate a run time of an execution of the algorithm on a new data set and on a new architecture using the predictive model.

公开(公告)号：US10049140B2

公开(公告)日：2018-08-14

申请号：US14839730

申请日：2015-08-28

Applicant: International Business Machines Corporation

Inventor： Nagui Halim ,  Srinivasan Parthasarathy ,  Venkata N. Pavuluri ,  Daby Mousse Sow ,  Deepak Srinivas Turaga

IPC: G06F17/30

Abstract: An encoding system for encoding an event time series, the system including an inter-arrival time computing device configured to compute an inter-arrival time between a plurality of input events and computes a sequence of events, a transformation device configured to transform the inter-arrival time between the plurality of input events into discrete time symbols, and a mapping device configured to map the input events and the discrete time symbols using a dictionary to output a time gram.

公开(公告)号：US09330163B2

公开(公告)日：2016-05-03

申请号：US14011175

申请日：2013-08-27

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Wei Fan ,  Jing Gao ,  Srinivasan Parthasarathy ,  Deepak Turaga

IPC: G06F17/30 ,  G11B27/32

CPC classification number: G06F17/30598 ,  G11B27/32

Abstract: A horizontal anomaly detection method includes receiving at plurality of objects described in a plurality of information sources, wherein each individual information source captures a plurality of similarity relationships between the objects, combining the information sources to determine a similarity matrix whose entries represent quantitative scores of similarity between pairs of the objects, and identifying at least one horizontal anomaly of the objects within the similarity matrix, wherein the horizontal anomalies are anomalous relationships across the plurality of information sources.

公开(公告)号：US12236360B2

公开(公告)日：2025-02-25

申请号：US17023679

申请日：2020-09-17

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jinho Hwang ,  Larisa Shwartz ,  Srinivasan Parthasarathy ,  Qing Wang ,  Michael Elton Nidd ,  Frank Bagehorn ,  Jakub Krchák ,  Ota Sandr ,  Tomáš Ondrej ,  Michal Mýlek ,  Altynbek Orumbayev ,  Randall M George

IPC: G06N5/04 ,  G06N20/00

Abstract: A method, a computer system, and a computer program product for a shiftleft topology construction is provided. Embodiments of the present invention may include collecting datasets. Embodiments of the present invention may include extracting topological entities from the datasets. Embodiments of the present invention may include correlating a plurality of data from the topological entities. Embodiments of the present invention may include mapping the topological entities. Embodiments of the present invention may include marking entry points for a plurality of subgraphs of the topological entities. Embodiments of the present invention may include constructing a topology graph.

公开(公告)号：US12045282B2

公开(公告)日：2024-07-23

申请号：US16832478

申请日：2020-03-27

Applicant: International Business Machines Corporation

Inventor： Srinivasan Parthasarathy ,  Fabio A. Oliveria ,  Sushma Ravichandran ,  Tamar Eilam

IPC: G06F16/901 ,  G06F16/9035 ,  G06F16/9038 ,  G06F17/16

CPC classification number: G06F16/9024 ,  G06F16/9035 ,  G06F16/9038 ,  G06F17/16

Abstract: Systems, computer-implemented methods, and computer program products to facilitate fault localization and alert aggregation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a graph component that employs an algorithm to generate a directed graph of computing elements having performance alerts in one or more abstraction layers of a computing environment. The computer executable components can further comprise a fault localization component that employs a topological sort algorithm to identify one or more of the computing elements causing the performance alerts based on the directed graph.