TIMELY CAUSALITY ANALYSIS IN HOMEGENEOUS ENTERPRISE HOSTS

    公开(公告)号:WO2018213061A3

    公开(公告)日:2018-11-22

    申请号:PCT/US2018/031559

    申请日:2018-05-08

    Abstract: A method and system are provided for causality analysis of Operating System-level (OS-level) events in heterogeneous enterprise hosts. The method includes storing (720F), by the processor, the OS-level events in a priority queue in a prioritized order based on priority scores determined from event rareness scores and event fanout scores for the OS-level events. The method includes processing (720G), by the processor, the OS-level events stored in the priority queue in the prioritized order to provide a set of potentially anomalous ones of the OS-level events within a set amount of time. The method includes generating (720G), by the processor, a dependency graph showing causal dependencies of at least the set of potentially anomalous ones of the OS-level events, based on results of the causality dependency analysis. The method includes initiating (730), by the processor, an action to improve a functioning of the hosts responsive to the dependency graph or information derived therefrom.

    PROGRESSIVE PROCESSING FOR QUERYING SYSTEM BEHAVIOR
    2.
    发明申请
    PROGRESSIVE PROCESSING FOR QUERYING SYSTEM BEHAVIOR 审中-公开
    逐步处理查询系统行为

    公开(公告)号:WO2018039424A1

    公开(公告)日:2018-03-01

    申请号:PCT/US2017/048360

    申请日:2017-08-24

    Abstract: Methods for querying a database and database systems include optimizing (304) a database query for parallel execution using spatial and temporal information relating to elements in the database, the optimized database query being split into sub-queries with sub-queries being divided spatially according to host and temporally according to time window. The sub-queries are executed (306) in parallel. The results of the database query are outputted (310) progressively.

    Abstract translation: 用于查询数据库和数据库系统的方法包括使用与数据库中的元素相关的空间和时间信息优化(304)用于并行执行的数据库查询,优化的数据库查询被拆分为子查询 子查询根据主机在时间上按照时间窗口进行空间划分。 子查询并行执行(306)。 数据库查询的结果逐步输出(310)。

    TIMELY CAUSALITY ANALYSIS IN HOMEGENEOUS ENTERPRISE HOSTS

    公开(公告)号:WO2018213061A2

    公开(公告)日:2018-11-22

    申请号:PCT/US2018/031559

    申请日:2018-05-08

    CPC classification number: G06F21/554 G06F2221/034

    Abstract: A method and system are provided for causality analysis of Operating System-level (OS-level) events in heterogeneous enterprise hosts. The method includes storing (720F), by the processor, the OS-level events in a priority queue in a prioritized order based on priority scores determined from event rareness scores and event fanout scores for the OS-level events. The method includes processing (720G), by the processor, the OS-level events stored in the priority queue in the prioritized order to provide a set of potentially anomalous ones of the OS-level events within a set amount of time. The method includes generating (720G), by the processor, a dependency graph showing causal dependencies of at least the set of potentially anomalous ones of the OS-level events, based on results of the causality dependency analysis. The method includes initiating (730), by the processor, an action to improve a functioning of the hosts responsive to the dependency graph or information derived therefrom.

Patent Agency Ranking