Acala: Aggregate Monitoring for Geo-Distributed Cluster Federations

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Applied Computing Review Pub Date : 2023-03-27 DOI:10.1145/3555776.3577716
Chih-Kai Huang, G. Pierre
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引用次数: 2

Abstract

Distributed monitoring is an essential functionality to allow large cluster federations to efficiently schedule applications on a set of available geo-distributed resources. However, periodically reporting the precise status of each available server is both unnecessary to allow accurate scheduling and unscalable when the number of servers grows. This paper proposes Acala, a monitoring framework for geo-distributed cluster federations which aims to provide the management cluster with aggregate information about the entire cluster instead of individual servers. Our evaluations, based on actual deployment under controlled environment in the geo-distributed Grid'5000 testbed, show that Acala reduces the cross-cluster network traffic by up to 99% and the scrape duration by up to 55%.
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Acala:地理分布式集群联合的聚合监控
分布式监控是一项基本功能,它允许大型集群联合在一组可用的地理分布式资源上有效地调度应用程序。但是,定期报告每个可用服务器的精确状态对于实现精确的调度是不必要的,而且当服务器数量增加时也无法进行扩展。本文提出了Acala,一个用于地理分布式集群联合的监控框架,旨在为管理集群提供关于整个集群而不是单个服务器的汇总信息。我们的评估基于地理分布式网格5000测试平台在受控环境下的实际部署,表明Acala将跨集群网络流量减少了99%,将刮取时间减少了55%。
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来源期刊
Applied Computing Review
Applied Computing Review COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
8
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