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    • 1. 发明申请
    • IDENTIFYING THE ROOT CAUSE OF AN ISSUE OBSERVED DURING APPLICATION EXECUTION
    • 确定在申请执行期间观察到的问题的根本原因
    • WO2017141176A1
    • 2017-08-24
    • PCT/IB2017/050851
    • 2017-02-15
    • NEW RELIC, INC.
    • CIRNE, Lewis KarlLIGHTSTONE, EtanSNELL, Jason
    • G06F11/36G06F11/07
    • G06F11/3409G06F11/0706G06F11/0751G06F11/0781G06F11/079G06F11/302G06F17/30958H04L67/02
    • By monitoring requests to and from components of an application, an application analysis engine generates an inter-component graph for an application that identifies how the various components in the application are connected. When a performance issue is detected in association with the application, a traversal module traverses the inter-component graph to determine the possible execution paths that may have been the cause of the detected issue. The traversal module transmits requests to the correlation module to compare the metrics time series of the different components in the execution path with the detected issue. The correlation module compares metrics time series with the issue metric to identify correlations between execution patterns. The results of the correlation may be presented in a report that visually identify the root cause of the detected issues.
    • 通过监视去往和来自应用程序组件的请求,应用程序分析引擎为应用程序生成一个组件间图,该组件图标识了应用程序中的各个组件如何连接。 当检测到与应用程序相关的性能问题时,遍历模块会遍历组件间关系图,以确定可能导致检测到问题的可能执行路径。 遍历模块向相关模块传送请求以比较执行路径中不同组件的度量时间序列与检测到的问题。 相关性模块将指标时间序列与问题度量标准进行比较,以确定执行模式之间的相关性。 相关性的结果可能会在报告中呈现,可以直观地找出检测到的问题的根本原因。