Journal article
Cost-aware Workload Dispatching and Server Provisioning for Distributed Cloud Data Centers
INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, v 6(5), pp 51-60
31 Oct 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
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Details
- Title
- Cost-aware Workload Dispatching and Server Provisioning for Distributed Cloud Data Centers
- Creators
- Weiwei Fang - Beijing Jiaotong UniversityQuan Zhou - Beijing Jiaotong UniversityYuan An - Xian Satellite Control Ctr, State Key Lab Aerosp Dynam, Xian 710043, Shaanxi, Peoples R ChinaYangchun Li - Beijing Jiaotong UniversityHuijing Zhang - Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing 100876, Peoples R China
- Publication Details
- INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, v 6(5), pp 51-60
- Publisher
- Nadia
- Number of pages
- 10
- Grant note
- 2012RC040 / Science and Technology Foundation of Beijing Jiaotong University 61202430; 61303245; 61272483 / National Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000215401600006
- Other Identifier
- 991020547661404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Software Engineering