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SYSTEM FOR BATCH SCHEDULER USING LOG ANALYSIS BASED ON GRAPH MODEL

机译:基于图形模型的日志分析批量调度器系统

摘要

The present invention relates to a batch scheduler system utilizing log analysis based on a graph model. According to the present invention, in a batch scheduler system utilizing log analysis based on a graph model, the workflow meta information is generated based on the workflow using the graph model, and a batch schedule for the generated workflow is executed. Workflow log for generating mining information by analyzing the log information generated by the workflow management unit, the schedule engine unit controlling the workflow management unit based on the workflow meta information, and the execution unit executing the batch schedule based on data mining It includes an analysis unit, a graph-based workflow meta storage unit for storing the workflow meta information and the mining information generated by the workflow log analysis unit, and a schedule execution log storage unit for storing all logs generated by the schedule engine unit do. As described above, according to the present invention, log information is accumulated in the process of executing and managing a batch schedule for a workflow designed based on a graph model, and based on mining information and system resource information obtained by data mining analysis of the accumulated log information to automatically control execution, queuing and prioritization at execution time.
机译:本发明涉及一种利用基于图模型的日志分析的批量调度器系统。根据本发明,在利用基于图形模型的批量调度器系统中,基于使用图形模型的工作流生成工作流元信息,并且执行生成的工作流的批处理计划。工作流程日志通过分析由工作流管理单元生成的日志信息,基于工作流元信息控制工作流管理单元的日程发动机单元以及基于数据挖掘执行的批处理计划的执行单元,它包括分析单位,基于图的工作流元存储单元,用于存储工作流元信息和由工作流日志分析单元生成的挖掘信息,以及用于存储由调度引擎单元生成的所有日志的时间表执行日志存储单元。如上所述,根据本发明,在执行基于图形模型的工作流程的过程和管理批次计划的过程中累积日志信息,并基于通过数据挖掘分析获得的挖掘信息和系统资源信息累计日志信息以在执行时间自动控制执行,排队和优先级。

著录项

  • 公开/公告号KR20210090443A

    专利类型

  • 公开/公告日2021-07-20

    原文格式PDF

  • 申请/专利权人 주식회사 아펙스에이아이;

    申请/专利号KR20200003735

  • 发明设计人 문승대;전건후;

    申请日2020-01-10

  • 分类号G06F9/48;

  • 国家 KR

  • 入库时间 2024-06-14 21:54:21

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