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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：Cloud computing, electricity market, multiobjective optimization, smart grid, task scheduling
摘要：The enormous energy consumed by clouds becomes a significant challenge for cloud providers and smart grid operators. Due to performance concerns, applications typically run in different clouds located in multiple sites. In different clouds, many factors, including electricity prices, available servers, and task service rates, exhibit spatial variations. Therefore, it is important to manage and schedule tasks among multiple clouds in a high-quality-of-service and low-energy-cost manner. This work proposes a task scheduling method to jointly minimize energy cost and average task loss possibility
论文类型：基础研究
论文编号：DOI: 10.1109/TASE.2020.3042409
一级学科：计算机科学与技术
文献类型：期刊
卷号：PP
期号：99
页面范围：1-12
ISSN号：1545-5955
是否译文：否
CN号：null
发表时间：2020-12-16
收录刊物：SCI
发布期刊链接：https://ieeexplore-ieee-org-s.vpn.buaa.edu.cn:8118/document/9296374