DocumentCode :
1975157
Title :
Resource contention-aware Virtual Machine management for enterprise applications
Author :
Fox, A. ; Turner, Adrian ; Kim, Hak S.
Author_Institution :
Electr. & Comput. Eng. Dept., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2012
fDate :
3-7 Dec. 2012
Firstpage :
1641
Lastpage :
1646
Abstract :
Consolidating Virtual Machines (VMs) in data centers is desirable as it reduces hardware and power costs. However the performances of VMs on shared physical servers are not isolated from each other as they contend for the same server resources. This contention degrades the performance of delay sensitive applications and can increase response times by three orders of magnitude at high contention levels. In order to achieve Service Level Agreements (SLAs) under VM consolidation, resources must be allocated by considering the performance effects of contention. We therefore present VARACO, a contention-aware VM management system to achieve Quality-of-Service (QoS) targets for multi-tier web applications. VARACO models applications´ performances online using 13 server resource utilization and contention metrics. Resources are dynamically allocated using these models to achieve QoS targets. Our results show that application- level performance can be modeled 130% more accurately when resource contention is considered. We demonstrate VARACO by achieving a 90th percentile response time target of a sample application under VM consolidation.
Keywords :
business data processing; contracts; quality of service; resource allocation; virtual machines; QoS; SLA; VARACO; VM consolidation; application-level performance; contention metrics; contention-aware VM management system; data centers; delay sensitive applications; enterprise applications; multitier Web applications; quality-of-service; resource allocation; resource contention-aware virtual machine management; response times; server resource utilization; service level agreements; shared physical servers; automated resource control; resource contention;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1930-529X
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2012.6503349
Filename :
6503349
Link To Document :
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