Temporal discrete event analytics system

    公开(公告)号:US11297142B2

    公开(公告)日:2022-04-05

    申请号:US16776883

    申请日:2020-01-30

    Abstract: Systems and methods for evaluating another computer system using temporal discrete event analytics are provided. The method includes generating sentences of discrete event sequences for multiple sensors. The method also includes building a sensor relationship network in response to generating the sentences of discrete event sequences. The sensor relationship network is analyzed to determine relationships between the multiple sensors. The method further includes performing fault diagnosis based on the sensor relationship network and the relationships between the multiple sensors.

    METHOD FOR AUTOMATED CODE REVIEWER RECOMMENDATION

    公开(公告)号:US20210089992A1

    公开(公告)日:2021-03-25

    申请号:US17016709

    申请日:2020-09-10

    Abstract: A method for automatically recommending a reviewer for submitted codes is presented. The method includes employing, in a learning phase, an artificial intelligence agent for learning an underlying and contextual structure of code regions, mapping the code regions into a distributed representation to define code region representations, employing, in a recommendation phase, the artificial intelligence agent to produce a ranked list of recommended reviewers for any given submitted code review request, and outputting the ranked list of recommended reviewers to a visualization device.

    TEMPORAL DISCRETE EVENT ANALYTICS SYSTEM
    5.
    发明申请

    公开(公告)号:US20200252461A1

    公开(公告)日:2020-08-06

    申请号:US16776883

    申请日:2020-01-30

    Abstract: Systems and methods for evaluating another computer system using temporal discrete event analytics are provided. The method includes generating sentences of discrete event sequences for multiple sensors. The method also includes building a sensor relationship network in response to generating the sentences of discrete event sequences. The sensor relationship network is analyzed to determine relationships between the multiple sensors. The method further includes performing fault diagnosis based on the sensor relationship network and the relationships between the multiple sensors.

    JOINT SEMANTIC AND FORMAT SIMILARITY FOR LARGE SCALE LOG RETRIEVAL

    公开(公告)号:US20190354422A1

    公开(公告)日:2019-11-21

    申请号:US16400402

    申请日:2019-05-01

    Abstract: A method for diagnosing computer system faults using log retrieval based on joint semantic and syntactic similarities includes receiving a set of query logs, defining joint semantic and syntactic similarities between the set of query logs and respective ones of multiple sets of historical logs based on semantic content and syntactic information obtained for the set of query logs and the multiple sets of historical logs, the multiple sets of historical logs being associated with historical computer system fault diagnoses, retrieving a set of historical logs from the multiple sets of historical logs to obtain a retrieved set of historical logs for computer system fault comparison based on a similarity measure corresponding to each of the multiple sets of historical logs derived from the joint semantic and syntactic similarities, and transmitting the retrieved set of historical logs to one or more computing devices to perform the computer system fault comparison.

    Mobile phone with system failure prediction using long short-term memory neural networks

    公开(公告)号:US10296430B2

    公开(公告)日:2019-05-21

    申请号:US15478753

    申请日:2017-04-04

    Abstract: Mobile phones and methods for mobile phone failure prediction include receiving respective log files from one or more mobile phone components, including at least one user application. The log files have heterogeneous formats. A likelihood of failure of one or more mobile phone components is determined based on the received log files by clustering the plurality of log files according to structural log patterns and determining feature representations of the log files based on the log clusters. A user is alerted to a potential failure if the likelihood of component failure exceeds a first threshold. An automatic system control action is performed if the likelihood of component failure exceeds a second threshold.

    MULTIBYTE HETEROGENEOUS LOG PREPROCESSING
    9.
    发明申请

    公开(公告)号:US20180060314A1

    公开(公告)日:2018-03-01

    申请号:US15659131

    申请日:2017-07-25

    CPC classification number: G06F16/1794 G06F16/258

    Abstract: Methods and systems for log management include pre-processing heterogeneous logs and performing a log management action on the pre-processed plurality of heterogeneous logs. Pre-processing the logs includes performing a fixed tokenization of the heterogeneous logs based on a predefined set of symbols, performing a flexible tokenization of the heterogeneous logs based on a user-defined set of rules, converting timestamps in the heterogeneous logs to a single target timestamp format, and performing structural log tokenization of the heterogeneous logs based on user-defined structural information.

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