Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/85715
Type: Artigo de periódico
Title: Adaptive Global Power Optimization For Web Servers
Author: Piga L.
Bergamaschi R.A.
Breternitz M.
Rigo S.
Abstract: Thiswork investigates power and performance trade-offs forWeb servers on a state-of-the-art, high-density, power-efficient SeaMicro SM15k cluster byAMD.We relied on the concept of virtual power states (VPSs), a combination of CPU utilization rate to the P/C power states available inmodern processors, and on our global optimization algorithm called Slack Recovery, to deploy an adaptive global powermanagement system in a production environment. The main contributions of this paper are twofold. First, it presents the Slack Recovery algorithm deployed on a real cluster, composed of 25 SeaMicro nodes. The algorithm finds a P-state and a utilization rate for each CPU node to minimize power under a minimum performance requirement. Second, it proposes a novel mechanism to control utilization rates in each server, a key aspect on our power/performance optimization system which enables the implementation of the VPS concept in practice. Experimental results show that our Slack Recovery-based system can reduce up to 6.7% of the power consumption when compared to policies usually deployed in SeaMicro production systems. © Springer Science+Business Media New York 2014.
Editor: Kluwer Academic Publishers
Rights: fechado
Identifier DOI: 10.1007/s11227-014-1141-x
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84905660223&partnerID=40&md5=c5cc725f83e999136ff497e1acd9b129
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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