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Patent Agency Ranking
公开(公告)号：US10795753B2
公开(公告)日：2020-10-06
申请号：US16207851
申请日：2018-12-03
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Hui Zhang , Haifeng Chen , Tanay Kumar Saha , Pranay Anchuri
Abstract: Methods and systems for system failure diagnosis and correction include extracting syntactic patterns from a plurality of logs with heterogeneous formats. The syntactic patterns are clustered according to categories of system failure. A single semantically unique pattern is extracted for each category of system failure. The semantically unique patterns are matched to recent log information to detect a corresponding system failure. A corrective action us performed responsive to the detected system failure.
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公开(公告)号：US20190179691A1
公开(公告)日：2019-06-13
申请号：US16207851
申请日：2018-12-03
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Hui Zhang , Haifeng Chen , Tanay Kumar Saha , Pranay Anchuri
Abstract: Methods and systems for system failure diagnosis and correction include extracting syntactic patterns from a plurality of logs with heterogeneous formats. The syntactic patterns are clustered according to categories of system failure. A single semantically unique pattern is extracted for each category of system failure. The semantically unique patterns are matched to recent log information to detect a corresponding system failure. A corrective action us performed responsive to the detected system failure.
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公开(公告)号：US20170278007A1
公开(公告)日：2017-09-28
申请号：US15375291
申请日：2016-12-12
Applicant: NEC Laboratories America, Inc.
Inventor： Pranay Anchuri , Hui Zhang , Guofei Jiang
Abstract: A computer-implemented method provides an early warning of an impending failure in a monitored system. The method includes performing, by a processor, an offline model learning process that generates a model of expected log rates in the monitored system from historical log data. The model represents a normal behavior of the monitored system. The method further includes performing an online detection process that detects the impending failure in the monitored system prior to an actual occurrence thereof based on (i) the model of expected log rates and (ii) observed log rates. The method also includes displaying, by a display device based on (i) the model of expected log rates and (ii) observed log rates in the monitored system, information relating to the impending failure prior to the actual occurrence of the impending failure. The online detection process identifies short term and long term failures and long term failures.
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公开(公告)号：US10678625B2
公开(公告)日：2020-06-09
申请号：US16033278
申请日：2018-07-12
Applicant: NEC Laboratories America, Inc.
Inventor： Pranay Anchuri , Jianwu Xu , Hui Zhang
Abstract: Systems and methods for automatically generating failure signatures in a computer system for performing computer system fault diagnosis are provided. The method includes receiving log data, converting each log in the log data into a collection of log pattern sequences including one or more log pattern sequences corresponding to one or more respective failure categories associated with the computer system, generating a collection of seed patterns by computing a global set of patterns from the collection of log pattern sequences, and extracting the collection of seed patterns from the global set of patterns, generating a log pattern grammar representation for each of the one or more log pattern sequences, generating a failure signature for each of the one or more failure categories based on the log pattern grammar representation and the collection of seed patterns, and employing the failure signatures to perform computer system fault diagnosis on new log data.
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公开(公告)号：US20190079820A1
公开(公告)日：2019-03-14
申请号：US16033278
申请日：2018-07-12
Applicant: NEC Laboratories America, Inc.
Inventor： Pranay Anchuri , Jianwu Xu , Hui Zhang
IPC: G06F11/07
CPC classification number: G06F11/079 , G06F11/0751 , G06F11/0778 , G06F11/0787
Abstract: Systems and methods for automatically generating failure signatures in a computer system for performing computer system fault diagnosis are provided. The method includes receiving log data, converting each log in the log data into a collection of log pattern sequences including one or more log pattern sequences corresponding to one or more respective failure categories associated with the computer system, generating a collection of seed patterns by computing a global set of patterns from the collection of log pattern sequences, and extracting the collection of seed patterns from the global set of patterns, generating a log pattern grammar representation for each of the one or more log pattern sequences, generating a failure signature for each of the one or more failure categories based on the log pattern grammar representation and the collection of seed patterns, and employing the failure signatures to perform computer system fault diagnosis on new log data.
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