Earticle

초록

영어

As the demand on online services and cloud computing has kept increasing in recent years, the power usage and cost associated with cloud data centers’ operation have been uprising significantly. Most existing research focuses on reducing power consumption of data centers. However, the ultimate goal of cloud service operators is to reduce the total operating cost of data centers while guaranteeing the quality of service such as service delay to the end users. This paper exploits both the workload dispatching and the service provisioning to address the total electricity cost minimization problem. This problem is formulated as a hierarchical capacitated median model based on mixed integer linear programming (MILP) technique. Extensive evaluations based on real-life electricity price data for multiple data centers show the efficiency and efficacy of our approach.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Formulation and Modeling
  3.1. Notations
  3.2. Cost and Constraints Modeling
  3.3. Problem Formulation
 4. Performance Evaluation
  4.1. Experiment setup
  4.2. Experiment results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Weiwei Fang [ School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China ]
• Quan Zhou [ School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China ]
• Yuan An [ State Key Laboratory of Aerospace Dynamics, Xi’an Satellite Control Center, Xi’an, 710043, China ]
• Yangchun Li [ Beijing University of Posts and Telecommunications, Beijing, 100876, China ]
• Huijing Zhang [ Beijing University of Posts and Telecommunications, Beijing, 100876, China ]

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