CloudSeer: Using Logs to Detect Errors in the Cloud Infrastructure
    11.
    发明申请
    CloudSeer: Using Logs to Detect Errors in the Cloud Infrastructure 有权
    CloudSeer:使用日志检测云基础架构中的错误

    公开(公告)号:US20160179600A1

    公开(公告)日:2016-06-23

    申请号:US14957566

    申请日:2015-12-02

    Abstract: Systems and methods are disclosed for detecting error in a cloud infrastructure by running a plurality of training tasks on the cloud infrastructure and generating training execution logs; generating a model miner with the training execution logs to represent one or more correct task executions in the cloud infrastructure; after training, running a plurality of tasks on the cloud infrastructure and capturing live execution logs; and from the live execution logs, if a current task deviates from the correct task execution, indicating an execution error for correction in real-time.

    Abstract translation: 公开了用于通过在云基础设施上运行多个训练任务并生成训练执行日志来检测云基础架构中的错误的系统和方法; 生成具有训练执行日志的模型矿工,以表示云基础架构中的一个或多个正确的任务执行; 培训后,在云基础架构上运行多个任务并捕获实时执行日志; 如果当前任务偏离正确的任务执行,则表示实时执行错误。

    Log-based system maintenance and management

    公开(公告)号:US11194692B2

    公开(公告)日:2021-12-07

    申请号:US16037354

    申请日:2018-07-17

    Abstract: Methods and systems for system maintenance include identifying patterns in heterogeneous logs. Predictive features are extracted from a set of input logs based on the identified patterns. It is determined that the predictive features indicate a future system failure using a first model. A second model is trained, based on a target sample from the predictive features and based on weights associated with a distance between the target sample and a set of samples from the predictive features, to identify one or more parameters of the second model associated with the future system failure. A system maintenance action is performed in accordance with the identified one or more parameters.

    System event search based on heterogeneous logs

    公开(公告)号:US10909115B2

    公开(公告)日:2021-02-02

    申请号:US16203008

    申请日:2018-11-28

    Abstract: Systems and methods for system event searching based on heterogeneous logs are provided. A system can include a processor device operatively coupled to a memory device wherein the processor device is configured to mine a variety of log patterns from various of heterogeneous logs to obtain known-event log patterns and unknown-event log patterns, as well as to build a weighted vector representation of the log patterns. The processor device is also configured to evaluate a similarity between the vector representation of the unknown-event and known-event log patterns, identify a known event that is most similar to an unknown event to troubleshoot system faults based on past actions for similar events to improve an operation of a computer system.

    Periodicity analysis on heterogeneous logs

    公开(公告)号:US10679135B2

    公开(公告)日:2020-06-09

    申请号:US15340255

    申请日:2016-11-01

    Abstract: Systems and methods are disclosed for detecting periodic event behaviors from machine generated logging by: capturing heterogeneous log messages, each log message including a time stamp and text content with one or more fields; recognizing log formats from log messages; transforming the text content into a set of time series data, one time series for each log format; during a training phase, analyzing the set of time series data and building a category model for each periodic event type in heterogeneous logs; and during live operation, applying the category model to a stream of time series data from live heterogeneous log messages and generating a flag on a time series data point violating the category model and generating an alarm report for the corresponding log message.

    LOG-BASED COMPUTER FAILURE DIAGNOSIS
    16.
    发明申请

    公开(公告)号:US20190179691A1

    公开(公告)日:2019-06-13

    申请号:US16207851

    申请日:2018-12-03

    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.

    SYSTEM EVENT SEARCH BASED ON HETEROGENEOUS LOGS

    公开(公告)号:US20190171622A1

    公开(公告)日:2019-06-06

    申请号:US16203008

    申请日:2018-11-28

    Abstract: Systems and methods for system event searching based on heterogeneous logs are provided. A system can include a processor device operatively coupled to a memory device wherein the processor device is configured to mine a variety of log patterns from various of heterogeneous logs to obtain known-event log patterns and unknown-event log patterns, as well as to build a weighted vector representation of the log patterns. The processor device is also configured to evaluate a similarity between the vector representation of the unknown-event and known-event log patterns, identify a known event that is most similar to an unknown event to troubleshoot system faults based on past actions for similar events to improve an operation of a computer system.

    Automatic discovery of message ordering invariants in heterogeneous logs

    公开(公告)号:US10296844B2

    公开(公告)日:2019-05-21

    申请号:US14846093

    申请日:2015-09-04

    Abstract: A method and system are provided. The method includes performing, by a logs-to-time-series converter, a logs-to-time-series conversion by transforming a plurality of heterogeneous logs into a set of time series. Each of the heterogeneous logs includes a time stamp and text portion with one or more fields. The method further includes performing, by a time-series-to-sequential-pattern converter, a time-series-to-sequential-pattern conversion by mining invariant relationships between the set of time series, and discovering sequential message patterns and association rules in the plurality of heterogeneous logs using the invariant relationships. The method also includes executing, by a processor, a set of log management applications, based on the sequential message patterns and the association rules.

    LOG-BASED SYSTEM MAINTENANCE AND MANAGEMENT
    20.
    发明申请

    公开(公告)号:US20190095313A1

    公开(公告)日:2019-03-28

    申请号:US16037354

    申请日:2018-07-17

    Abstract: Methods and systems for system maintenance include identifying patterns in heterogeneous logs. Predictive features are extracted from a set of input logs based on the identified patterns. It is determined that the predictive features indicate a future system failure using a first model. A second model is trained, based on a target sample from the predictive features and based on weights associated with a distance between the target sample and a set of samples from the predictive features, to identify one or more parameters of the second model associated with the future system failure. A system maintenance action is performed in accordance with the identified one or more parameters.

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