会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明授权
    • Tracking asynchronous entry points for an application
    • 跟踪应用程序的异步入口点
    • US09507655B2
    • 2016-11-29
    • US14530443
    • 2014-10-31
    • AppDynamics, Inc.
    • Suraj PuvvadaRyan Ericson
    • G06F3/00G06F9/54G06F9/46
    • G06F11/3688G06F3/00G06F9/466G06F9/4843G06F9/54G06F9/547G06F11/302G06F11/3414
    • Asynchronous operations associated with a request such as synchronous threads, runnable elements, callable elements, and other invokable objects are tracked to determine the metrics about the request and operations. The present technology tracks the start and end of each asynchronous operation and maintains a counter which tracks the currently executing asynchronous operations. By monitoring the request, the start and end of each asynchronous operation associated with the request, and the number of asynchronous operations currently executing, the present technology may identify the end of a request by identifying when the last asynchronous operation associated with the request ends. In some instances, the present technology identifies the end of a request when a counter which tracks the number of asynchronous operations executing reaches a value of zero after the first asynchronous operation has already begun.
    • 跟踪与诸如同步线程,可运行元素,可调用元素和其他可调用对象的请求相关联的异步操作,以确定关于请求和操作的度量。 本技术跟踪每个异步操作的开始和结束,并维护跟踪当前执行的异步操作的计数器。 通过监视请求,与请求相关联的每个异步操作的开始和结束以及当前正在执行的异步操作的数量,本技术可以通过识别与请求相关联的最后一个异步操作何时结束来识别请求的结束。 在一些情况下,当在第一异步操作之后跟踪执行的异步操作数达到零值的计数器已经开始时,本技术识别请求的结束。
    • 6. 发明申请
    • TRACKING ASYNCHRONOUS ENTRY POINTS FOR AN APPLICATION
    • 跟踪用于应用的异步入口点
    • US20160124783A1
    • 2016-05-05
    • US14530443
    • 2014-10-31
    • AppDynamics, Inc.
    • Suraj PuvvadaRyan Ericson
    • G06F9/54G06F9/46
    • G06F11/3688G06F3/00G06F9/466G06F9/4843G06F9/54G06F9/547G06F11/302G06F11/3414
    • Asynchronous operations associated with a request such as synchronous threads, runnable elements, callable elements, and other invokable objects are tracked to determine the metrics about the request and operations. The present technology tracks the start and end of each asynchronous operation and maintains a counter which tracks the currently executing asynchronous operations. By monitoring the request, the start and end of each asynchronous operation associated with the request, and the number of asynchronous operations currently executing, the present technology may identify the end of a request by identifying when the last asynchronous operation associated with the request ends. In some instances, the present technology identifies the end of a request when a counter which tracks the number of asynchronous operations executing reaches a value of zero after the first asynchronous operation has already begun.
    • 跟踪与诸如同步线程,可运行元素,可调用元素和其他可调用对象的请求相关联的异步操作,以确定关于请求和操作的度量。 本技术跟踪每个异步操作的开始和结束,并维护跟踪当前执行的异步操作的计数器。 通过监视请求,与请求相关联的每个异步操作的开始和结束以及当前正在执行的异步操作的数量,本技术可以通过识别与请求相关联的最后一个异步操作何时结束来识别请求的结束。 在一些情况下,当在第一异步操作之后跟踪执行的异步操作数达到零值的计数器已经开始时,本技术识别请求的结束。
    • 10. 发明申请
    • ANALYZING PHYSICAL MACHINE IMPACT ON BUSINESS TRANSACTION PERFORMANCE
    • 分析物理机械对业务交易绩效的影响
    • US20160124833A1
    • 2016-05-05
    • US14530450
    • 2014-10-31
    • AppDynamics, Inc.
    • Amod GuptaRyan Ericson
    • G06F11/34G06F11/30
    • G06F11/3495G06F11/3409G06F2201/81G06F2201/87
    • Application performance data and machine health are collected by a system. The system correlates the two data types to provide context as to how machine health affects the performance of an application. Performance data for an application, for example an application executing as part of a distributed business transaction, and health data for a machine which hosts the application are collected. The performance data and machine health data may be correlated for a particular period of time. The correlation may then be reported to a user. By viewing the correlation, a user may see when machine health was good and bad, and may identify the effects of the machine health on the performance of an application.
    • 应用程序性能数据和机器运行状况由系统收集。 系统将两种数据类型相关联以提供关于机器健康如何影响应用程序性能的上下文。 收集应用程序的性能数据,例如作为分布式业务事务的一部分执行的应用程序,以及承载应用程序的机器的运行状况数据。 性能数据和机器健康数据可以在特定时间段内相关。 然后可以将相关性报告给用户。 通过查看相关性,用户可以看到机器的健康状况是好还是坏,并且可以识别机器健康对应用的性能的影响。