Using Network Knowledge to Improve Workload Performance in Virtualized Data Centers

David Erickson, Brandon Heller, N. McKeown, M. Rosenblum
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引用次数: 12

Abstract

The scale and expense of modern data centers motivates running them as efficiently as possible. This paper explores how virtualized data center performance can be improved when network traffic and topology data informs VM placement. Our practical heuristics, tested on network-heavy, scale-out workloads in an 80 server cluster, improve overall performance by up to 70% compared to random placement in a multi-tenant configuration.
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利用网络知识提高虚拟化数据中心的工作负载性能
现代数据中心的规模和费用促使它们尽可能高效地运行。本文探讨了如何在网络流量和拓扑数据通知VM放置时提高虚拟化数据中心的性能。我们的实用启发式方法在80台服务器集群中对网络负荷大、向外扩展的工作负载进行了测试,与在多租户配置中随机放置相比,总体性能提高了70%。
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