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    • 7. 发明公开
    • SYSTEMS AND METHODS FOR PREDICTING PERFORMANCE OF APPLICATIONS ON AN INTERNET OF THINGS (IOT) PLATFORM
    • 用于预测物联网(IOT)平台上的应用性能的系统和方法
    • EP3296876A1
    • 2018-03-21
    • EP17152146.1
    • 2017-01-19
    • Tata Consultancy Services Limited
    • Duttagupta, SubhasriKumar, MukundManoj Karunakaran, Nambiar
    • G06F11/34
    • G06F9/5027G06F9/45558G06F11/3419G06F11/3428G06F11/3438G06F11/3447G06F11/3457
    • Performance prediction systems and method of an Internet of Things (IoT) platform and applications includes obtaining input(s) comprising one of (i) user requests and (ii) sensor observations from sensor(s); invoking Application Programming Interface (APIs) of the platform based on input(s); identifying open flow (OF) and closed flow (CF) requests of system(s) connected to the platform; identifying workload characteristics of the OF and CF requests to obtain segregated OF and segregated CF requests, and a combination of open and closed flow requests; executing performance tests with the APIs based on the workload characteristics; measuring resource utilization of the system(s) and computing service demands of resource(s) from measured utilization, and user requests processed by the platform per unit time; executing the performance tests with the invoked APIs based on volume of workload characteristics pertaining to the application(s); and predicting, using queuing network, performance of the application(s) for the volume of workload characteristics.
    • 物联网(IoT)平台和应用的性能预测系统和方法包括获得包括(i)用户请求和(ii)来自传感器的传感器观测之一的输入; 根据输入调用平台的应用程序编程接口(API); 识别连接到平台的系统的开放流(OF)和封闭流(CF)请求; 识别OF和CF请求的工作量特征以获得分离的和分离的CF请求,以及开放和封闭流请求的组合; 基于工作负载特性执行与API的性能测试; 测量系统的资源利用率并根据测量的利用率计算资源的服务需求以及平台每单位时间处理的用户请求; 基于与应用程序有关的工作量特征的量来执行具有被调用的API的性能测试; 并使用排队网络预测应用程序对于工作负载特征量的性能。
    • 8. 发明公开
    • PERFORMING STACK TRACE SAMPLING FOR METHOD INSTRUMENTATION
    • 进行方法仪器的堆栈跟踪采样
    • EP3291095A3
    • 2018-03-14
    • EP17186638.7
    • 2017-08-17
    • Entit Software LLC
    • YEMINI, NevohSELA, RoyNITSAN, Amichai
    • G06F11/30G06F11/34
    • G06F11/3644G06F11/302G06F11/3072G06F11/3093G06F11/3419G06F11/3471G06F11/36G06F2201/865
    • A method may include performing stack trace sampling to obtain a compiled list of transactions performed by a software application during a preconfigured timeframe, filtering the compiled list of transactions according to a set of filtering parameters to obtain a set of transactions instances that complies with the set of filtering parameters, and finding a set of non-instrumented methods within the set of transactions instances that complies with the set of filtering parameters. The set of non-instrumented methods may exceed a percentage threshold of a total transaction time of transactions that the set of non-instrumented methods are a part of and the percentage threshold may be user-configurable. The method may further include adding a set of instrumentation points into a points file, the set of instrumentation points associated with the set of non-instrumented methods.
    • 一种方法可以包括执行堆栈跟踪采样以获得在预配置的时间帧期间由软件应用程序执行的事务的编译列表,根据一组过滤参数过滤编译的事务列表以获得符合集合的一组事务实例 过滤参数,以及在符合该组过滤参数的一组交易实例内找到一组未被检测的方法。 非检测方法的集合可以超过该组非检测方法所属的事务的总交易时间的百分比阈值,并且百分比阈值可以是用户可配置的。 该方法可以进一步包括将一组仪器点添加到点文件中,该仪器点集合与该组仪器化方法相关联。