虚拟执行环境中的参与者分析

Andrea Rosà, L. Chen, Walter Binder
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引用次数: 11

摘要

现在,许多虚拟执行环境都受益于参与者模型提供的并发性。不幸的是,虽然参与者在许多应用程序中使用,但现有的分析工具在分析使用参与者的应用程序的性能方面并不是很有效。在本文中,我们提出了一种新的基于工具的技术来分析虚拟执行环境中的参与者。我们的技术采用与平台无关的分析指标,将仪器逻辑引起的干扰降至最低,并允许跨不同平台比较分析结果。特别是,我们的技术测量初始化成本、执行的计算量以及每个参与者发送和接收的消息。我们在Java平台上的Akka参与者的分析工具中实现了我们的技术。评估结果表明,我们的分析技术有助于大规模计算框架中参与者利用和参与者之间通信的性能分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Actor profiling in virtual execution environments
Nowadays, many virtual execution environments benefit from concurrency offered by the actor model. Unfortunately, while actors are used in many applications, existing profiling tools are not much effective in analyzing the performance of applications using actors. In this paper, we present a new instrumentation-based technique to profile actors in virtual execution environments. Our technique adopts platform-independent profiling metrics that minimize the perturbations induced by the instrumentation logic and allow comparing profiling results across different platforms. In particular, our technique measures the initialization cost, the amount of executed computations, and the messages sent and received by each actor. We implement our technique within a profiling tool for Akka actors on the Java platform. Evaluation results show that our profiling technique helps performance analysis of actor utilization and communication between actors in large-scale computing frameworks.
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