Resource-aware stream management with the customizable dproc distributed monitoring mechanisms

S. Agarwala, C. Poellabauer, J. Kong, K. Schwan, M. Wolf
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引用次数: 22

Abstract

Monitoring the resources of distributed systems is essential to the successful deployment and execution of grid applications, particularly when such applications have well-defined QoS requirements. The dproc system-level monitoring mechanisms implemented for standard Linux kernels have several key components. First, utilizing the familiar /proc filesystem, dproc extends this interface with resource information collected from both local and remote hosts. Second, to predictably capture and distribute monitoring information, dproc uses a kernel-level group communication facility, termed KECho, which is based on events and event channels. Third and the focus of this paper is dproc's run-time customizability for resource monitoring, which includes the generation and deployment of monitoring functionality within remote operating system kernels. Using dproc, we show that: (a) data streams can be customized according to a client's resource availabilities (dynamic stream management); (b) by dynamically varying distributed monitoring (dynamic filtering of monitoring information), appropriate balance can be maintained between monitoring overheads and application quality; and (c) by performing monitoring at kernel-level, the information captured enables decision making that takes into account the multiple resources used by applications.
具有可定制dproc分布式监控机制的资源感知流管理
监视分布式系统的资源对于网格应用程序的成功部署和执行至关重要,特别是当这些应用程序具有定义良好的QoS需求时。为标准Linux内核实现的dproc系统级监视机制有几个关键组件。首先,dproc利用我们熟悉的/proc文件系统,用从本地和远程主机收集的资源信息扩展这个接口。其次,为了可预测地捕获和分发监视信息,dproc使用称为KECho的内核级组通信工具,该工具基于事件和事件通道。第三,也是本文的重点是dproc用于资源监控的运行时可定制性,其中包括远程操作系统内核中监控功能的生成和部署。使用dproc,我们表明:(a)数据流可以根据客户端的资源可用性定制(动态流管理);(b)透过动态变化的分布式监控(动态过滤监控信息),可以在监控开销和应用质量之间保持适当的平衡;(c)通过在内核级执行监视,捕获的信息使决策能够考虑到应用程序使用的多种资源。
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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