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发表刊物：IEEE Transactions on Automation Science and Engineering
刊物所在地：美国
关键字：Data center, distributed clouds, genetic algorithm (GA), green computing, metaheuristic optimization
摘要：An increasing number of organizations choose distributed green data centers (DGDCs) and use their infrastructure resources to deploy and manage multiple applications that flexibly provide services to users around the world in a cost-effective way. The dramatic growth of tasks makes it highly challenging to maximize the total profit of a DGDC provider in a market, where the revenue, price of power grid, solar radiation, wind speed, the maximum amount of energy, on-site air density, and the number of servers in DGDCs all vary with geographical sites. Different from existing studies, this paper d
论文类型：基础研究
论文编号：DOI: 10.1109/TASE.2019.2909866
一级学科：计算机科学与技术
文献类型：期刊
卷号：17
期号：3
页面范围：1097-1106
ISSN号：1545-5955
是否译文：否
CN号：null
发表时间：2020-07-01
收录刊物：SCI
发布期刊链接：https://ieeexplore-ieee-org-s.vpn.buaa.edu.cn:8118/document/8709791