Admon: I/O Workload Management by ViSaGe Administration and Monitoring Service

S. Traboulsi, J. Jorda, A. Mzoughi
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引用次数: 0

Abstract

Virtualization in grid environments is a recent way to improve platform usage. ViSaGe is a middleware designed to provide set of functionalities needed for storage virtualizaion: transparent reliable remote access to data and distributed data management. ViSaGe aggregates distributed physical storage resources. However, ensuring the performances of data access in grid environment is a major issue, as large amount of data are stored and constantly accessed, and directly involved into tasks execution time. Especially, the placement and selection of replicated data are made particularly difficult because of the dynamic nature of grid environments - grid nodes workload variations. The workload variations represent the state of the system resources (CPU, disks and networks). These variations are mainly perceived by a monitoring system. Several monitoring systems exist in the literature. They monitor system resources consumption and applications but none of these systems presents the whole of the pertinent characteristics for ViSaGe. ViSaGe needs a system that analyzes nodes workload during runtime execution for improving data storage management. Therefore, ViSaGe Administration and monitoring service, namely Admon, is proposed. In this paper, we present Admon and its workload prediction model. Admon allows to dynamically placing data according to resources usage, especially disk I/O workload, ensuring the best performances while limiting the monitoring overhead. Experiments show the relevance of Admon decisions.
Admon: I/O工作负载管理由ViSaGe管理和监控服务
网格环境中的虚拟化是最近改进平台使用的一种方法。ViSaGe是一个中间件,旨在提供存储虚拟化所需的一组功能:透明可靠的数据远程访问和分布式数据管理。ViSaGe对分布式物理存储资源进行聚合。然而,在网格环境中,由于大量数据的存储和不断的访问,直接关系到任务的执行时间,因此如何保证数据访问的性能是一个重要的问题。特别是,由于网格环境的动态性——网格节点工作负载的变化,使得复制数据的放置和选择变得特别困难。工作负载变化表示系统资源(CPU、磁盘和网络)的状态。这些变化主要由监测系统感知。文献中存在几种监测系统。它们监视系统资源消耗和应用程序,但这些系统都没有为ViSaGe提供全部相关特性。ViSaGe需要一个系统在运行时分析节点的工作负载,以提高数据存储管理水平。因此,提出了ViSaGe管理和监控服务,即Admon。本文提出了Admon及其工作负荷预测模型。Admon允许根据资源使用情况(特别是磁盘I/O工作负载)动态放置数据,从而在限制监控开销的同时确保最佳性能。实验显示了Admon决策的相关性。
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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