Web-Based Performance Monitor for Distributed Computing

Kai Hua, Kai Wu, Yi Ding, W. Tsai
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引用次数: 1

Abstract

Performance monitoring tools have received significant attention recently. On the one side, it is necessary to support managing increasingly complex hardware and software infrastructures; on the other side, it can provide user system load and application running information in real time so as to guide user's resource request scheme and program optimization. The hot research issues are associated with some important software properties, such as scalability, elasticity, adaptability and timeliness. Based on the ADS principle, to meet large-scale and continuous monitoring of applications online, this paper proposes a Web-based scalable performance monitoring system framework with a flexible configurable network to address the massive amounts performance data obtained in timeliness. An online transport network is constructed in charge of collecting and processing performance data during execution from different node. It can make the global information available at runtime. Several initialized strategies of Tree-based overlay network are discussed in different cases. A tool has been developed and experimented, and it has been to be effective by many statistics.
基于web的分布式计算性能监视器
性能监视工具最近受到了极大的关注。一方面,有必要支持管理日益复杂的硬件和软件基础设施;另一方面,它可以实时向用户提供系统负载和应用程序运行信息,从而指导用户的资源请求方案和程序优化。这些研究热点都与软件的一些重要特性有关,如可扩展性、弹性、适应性和时效性。基于ADS原理,为满足应用在线大规模、连续监控,提出了一种基于web的可扩展性能监控系统框架,该框架具有灵活的可配置网络,能够解决实时获取海量性能数据的问题。构建在线传输网络,负责从不同节点收集和处理执行过程中的性能数据。它可以使全局信息在运行时可用。讨论了不同情况下基于树的覆盖网络的几种初始化策略。一种工具已经被开发和试验过,并且被许多统计数据证明是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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