Simulation of power consumption of cloud data centers

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

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

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
Volume39
DOIs
StatePublished - 2013

Fingerprint

Data Center
Energy Efficiency
Power Consumption
Energy efficiency
Resource Scheduling
Electric power utilization
Scheduling algorithms
Scheduling Algorithm
Resources
Simulation
Energy Model
Consolidation
Energy Saving
Workload
Energy conservation
Quality of service
Verify
Methodology
Model

Keywords

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

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Modeling and Simulation

Cite this

Simulation of power consumption of cloud data centers. / Luo, Liang; Wu, Wenjun; Tsai, W. T.; Di, Dichen; Zhang, Fei.

In: Simulation Modelling Practice and Theory, Vol. 39, 2013, p. 152-171.

Research output: Contribution to journalArticle

Luo, Liang ; Wu, Wenjun ; Tsai, W. T. ; Di, Dichen ; Zhang, Fei. / Simulation of power consumption of cloud data centers. In: Simulation Modelling Practice and Theory. 2013 ; Vol. 39. pp. 152-171.
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