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发表刊物：Information Sciences
刊物所在地：荷兰
关键字：Scheduling, Cloud data center, Particle swarm optimization, Simulated annealing, Energy management
摘要：The growing deployment of Internet services in cloud data centers significantly increases the grid energy cost of cloud providers. Considering the environmental effect, many of current cloud providers migrate to green cloud data centers (GCDCs), and seek to reduce the usage of brown energy by partially (or entirely) adopting renewable energy sources. However, the temporal diversity in the grid price, wind speed and solar irradiance makes it a big challenge to minimize the grid energy cost of a GCDC while meeting the performance of each delay bounded request. This work proposes a Temporal Reque
论文类型：基础研究
论文编号：DOI: 10.1016/j.ins.2016.04.024
一级学科：计算机科学与技术
文献类型：期刊
卷号：360
页面范围：57-72
ISSN号：10.1016/j.ins.2016.04.024
是否译文：否
CN号：null
发表时间：2016-09-01
收录刊物：SCI
发布期刊链接：https://www-sciencedirect-com-s.vpn.buaa.edu.cn:8118/science/article/pii/S0020025516302675