Title :
Using Network Knowledge to Improve Workload Performance in Virtualized Data Centers
Author :
Erickson, David ; Heller, Ben ; McKeown, N. ; Rosenblum, Mendel
Author_Institution :
Stanford Univ., Stanford, CA, USA
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.
Keywords :
computer centres; computer network performance evaluation; network servers; telecommunication network topology; telecommunication traffic; virtual machines; virtualisation; VM placement; network knowledge; network topology data; network traffic; network-heavy scale-out workloads; server cluster; virtual machines; virtualized data center performance; workload performance improvement; Bandwidth; Heuristic algorithms; Knowledge engineering; Network topology; Optimization; Servers; Switches; algorithms; beacon; data center; migration; network; openflow; optimization; performance; sdn; software defined networking; virtualization; virtue;
Conference_Titel :
Cloud Engineering (IC2E), 2014 IEEE International Conference on
Conference_Location :
Boston, MA
DOI :
10.1109/IC2E.2014.81
