An Adaptive Resource Monitoring Method for Distributed Heterogeneous Computing Environment

Gang Yang, Kaibo Wang, Xingshe Zhou
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引用次数: 4

Abstract

Resource performance monitoring is among the most active research topics in distributed computing. In this paper, we propose an adaptive resource monitoring method for applications in heterogeneous computing environment. According to the operating environment of distributed heterogeneous system and the changes of system resource workload, the method combines periodic pull mode with event-driven push mode to adaptively publish and retrieve system resource information. Preliminary experiments reveal that, by using our adaptive monitoring method, the efficiency of system monitoring is improved over that accrued by using regular monitoring approaches.
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分布式异构计算环境下的自适应资源监控方法
资源性能监控是分布式计算领域最活跃的研究课题之一。本文针对异构计算环境下的应用,提出了一种自适应的资源监控方法。该方法根据分布式异构系统的运行环境和系统资源负载的变化,将周期性的pull模式与事件驱动的push模式相结合,实现系统资源信息的自适应发布和检索。初步实验表明,采用自适应监测方法,系统监测效率比常规监测方法有所提高。
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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