会议论文

Peng, Jun

英文

2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017)

2158-9178

2017

88-93

15th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) / 16th IEEE International Conference on Ubiquitous Computing and Communications (IUCC)

IEEE International Symposium on Parallel and Distributed Processing with Applications

DEC 12-15, 2017

Guangzhou, PEOPLES R CHINA

[Song, Yazhen;Peng, Jun;Liu, Weirong;Zhang, Xiaoyong;Gu, Xin] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China.^[Yu, Wentao] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.^[Song, Yazhen;Peng, Jun;Liu, Weirong;Zhang, Xiaoyong;Gu, Xin;Yu, Wentao] Hunan Engn Lab Rail Vehicles Braking Technol, Changsha, Hunan, Peoples R China.

IEEE, IEEE Comp Soc, Guangzhou Univ, Cent S Univ

Wang, G Fox, G Martinez, G Hill, R Mueller, P

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-3790-6

10.1109/ISPA/IUCC.2017.00022

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61772558, 61379111, 61672537, 61672539, 61402538, 61403424, 61602529]; Planned Science and Technology Project of Hunan Province [2016GK2003]

本校为其他机构

In recent years, the global data center industry has entered a large-scale planning and construction stage, bringing huge power consumption and high operating costs. In this paper, a multi-tenant resource allocation optimization model for geo-distributed data centers is proposed to reduce the energy consumption and operating costs of cloud providers. Firstly, the resource allocation model is constructed by considering the heterogeneous electricity prices of geo-distributed data centers. Then an immune-based algorithm is proposed to solve the allocation optimization problem with variable users'...