Adaptive global power optimization for Web servers

Autor(es)

Piga, Leonardo ^[1] ; Bergamaschi, Reinaldo A. ^[1] ; Breternitz, Mauricio ^[2] ; Rigo, Sandro ^[1]

Afiliação do(s) autor(es)

^[1] Univ Campinas UNICAMP, Inst Comp, BR-13083852 Campinas, SP - Brazil

^[2] Adv Micro Devices Inc, Austin, TX 78735 - USA

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF SUPERCOMPUTING; v. 68, n. 3, p. 1088-1112, JUN 2014.
• Citações Web of Science: 1

Resumo

This work investigates power and performance trade-offs for Web servers on a state-of-the-art, high-density, power-efficient SeaMicro SM15k cluster by AMD. We relied on the concept of virtual power states (VPSs), a combination of CPU utilization rate to the P/C power states available in modern processors, and on our global optimization algorithm called Slack Recovery, to deploy an adaptive global power management 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. (AU)

• Processo FAPESP: 10/05389-5 - Análise e modelamento de potência e desempenho em servidores de centro de dados
• Beneficiário: Leonardo de Paula Rosa Piga
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto