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Approach to automated detection of dominant errors in cloud provisions

机译:云规定中自动检测主导误差的方法

摘要

A system is configured to determine a dominant error causing a provisioning step to become stuck during provisioning of a machine in a cloud environment. The system includes memory for storing instructions, and a processor configured to execute said instructions to determine an inverse error frequency (IEF) value for pre-intervention errors in a set of intervention provisioning data; determine a dominant error for a provision during said provisioning step in said set of intervention provisioning data based on a pre-intervention error that has a maximum IEF value; determine a duration frequency (DuF) value for the provision at said provisioning step for provisions in a set of non-intervention provisioning data; and determine said dominant error for each provision during said provisioning step in said set of non-intervention provisioning data based on an error that resulted in DuF value.
机译:系统被配置为确定在云环境中供应机器期间在供应过程中被卡住的主要错误。 该系统包括用于存储指令的存储器,以及配置成执行所述指令以确定一组干预供应数据中的预干预错误的逆误差频率(IEF)值的处理器; 根据具有最大IEF值的预干预错误,确定所述供应步骤期间的所在配置步骤期间提供的主要错误; 确定在所述供应步骤中提供规定的持续时间频率(DUF)值,以便在一组非干预供应数据中提供规定; 并根据导致DUF值的错误,确定所述配置集的每个配置步骤期间的每个规定的主导错误。

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