Simulation of power consumption of cloud data centers

Liang Luo, Wenjun Wu, W. T. Tsai, Dichen Di, Fei Zhang

Research output: Contribution to journalArticlepeer-review

32 Scopus citations


Energy efficiency of cloud data centers received significant attention recently as data centers often consume significant resources in operation. Most of the existing energy-saving algorithms focus on resource consolidation for energy efficiency. This paper proposes a simulation-driven methodology with the accurate energy model to verify its performance, and introduces a new resource scheduling algorithm Best-Fit-Decreasing-Power (BFDP) to improve the energy efficiency without degrading the QoS of the system. Both the model and the resource algorithm have been extensively simulated and validated, and results showed that they are effective. In fact, the proposed model and algorithm outperforms the existing resource scheduling algorithms especially under light workloads.

Original languageEnglish (US)
Pages (from-to)152-171
Number of pages20
JournalSimulation Modelling Practice and Theory
StatePublished - 2013


  • Cloud data center
  • Energy consumption
  • Energy simulation
  • Resource scheduling

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Hardware and Architecture


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