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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：Cost minimization, distributed data centers, green cloud, hybrid metaheuristic optimization, task sc
摘要：A growing number of organizations deploy multiple heterogeneous applications in infrastructures of distributed green data centers (DGDCs) to flexibly provide services to users around the world in a low-cost and high-quality way. The skyrocketing growth in types and number of heterogeneous applications dramatically increases the amount of energy consumed by DGDCs. The spatial and temporal variations in prices of power grid and availability of renewable energy make it highly challenging to minimize the energy cost of DGDC providers by intelligently scheduling arriving tasks of heterogeneous appl
论文类型：基础研究
论文编号：DOI: 10.1109/TASE.2019.2892480
一级学科：计算机科学与技术
文献类型：期刊
卷号：16
期号：4
页面范围：1686-1697
ISSN号：1545-5955
是否译文：否
CN号：null
发表时间：2019-10-01
收录刊物：SCI
发布期刊链接：https://ieeexplore-ieee-org-s.vpn.buaa.edu.cn:8118/document/8630852