Earticle

초록

영어

With the development of cloud computing, high energy consumption issue has attracted more and more attentions recently. To achieve the goal of energy conservation, accurately measuring the power consumption of distributed resource is of significant importance. Conventional power models can only provide fine-grained power measurement for physical devices instead of virtualized resources. In this paper, we proposed a novel power measuring technique, which uses performance monitoring counters (PMC) as basic indicator of virtual machine’s power consumption. Meanwhile, we also designed a scheduling algorithm to reduce the measuring errors caused by recursive power consumption. Theoretical analysis indicates that the proposed algorithm can provide bounded error when metering virtual machine’s power. Massive experiments are conducted by using various benchmarks on different platforms, and the results shown the proposed technique is effective and low-cost for measuring the power consumption of virtualized resources in large-scale cloud systems.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Power Model for Virtual Machine
  3.1 Utilization-based power models
  3.2 PMC-based power models
 4. PMC-based Virtual Machine Scheduler
 5. Experiments and Performance Comparison
  5.1. Experimental setting
  5.2. Power measurement error comparison
  5.3. Power efficiency comparison
 6. Conclusion
 References

키워드

저자

• Xiao Peng [ Department of Computer and Communication, Hunan Institute of Engineering ]
• Zhao Sai [ School of Computer Engineering and Applied Science, Memorial University of Newfoundland ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605