AUTOMATED SELECTION OF PERFORMANCE MONITORS

    公开(公告)号:US20210286699A1

    公开(公告)日:2021-09-16

    申请号:US16818656

    申请日:2020-03-13

    Abstract: An embodiment includes extracting statistical data associated with invocation of an application programming interface (API) from a log and using the statistical data to calculate a performance value and generate an aggregate dataset that combines the performance value with performance values associated with other invocations of the API. The embodiment includes calculating metric values for performance values for respective time intervals of a time period and calculating mean and standard deviation values of the metric values for the time period. The embodiment includes selecting the API as a candidate API and detecting a Customer Impacting Event (CIE) by applying a machine learning algorithm using monitored values associated with the candidate API during a time frame defined by a rolling window. The embodiment also includes automatically initiating a selected alert from among a plurality of alert options based at least in part on the monitored values associated with the CIE.

    Memory bandwidth management for performance-sensitive IaaS

    公开(公告)号:US10901893B2

    公开(公告)日:2021-01-26

    申请号:US16146465

    申请日:2018-09-28

    Abstract: Memory bandwidth allocations for a plurality of tenants on a processor socket may be managed by determining a total memory bandwidth for the processor socket, determining a respective share of the total memory bandwidth for each tenant, and determining a respective dynamic memory bandwidth budget for the each tenant. The memory bandwidth allocations may be controlled based on the determined respective dynamic memory bandwidth budgets, wherein the each respective dynamic memory bandwidth budget supports utilizing the each respective share and supports sharing unused memory bandwidth of the each respective tenant with a different tenant included in the plurality of tenants.

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