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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 data center, delay bounded tasks, green computing, hybrid optimization , metaheuristic, profit
摘要：A growing number of companies deploy their applications in green data centers (GDCs) and provide services to tasks of global users. Currently, a growing number of GDC providers aim to maximize their profit by deploying green energy facilities and decreasing brown energy consumption. However, the temporal variation in the revenue, price of grid, and green energy in tasks' delay bounds makes it challenging for GDC providers to achieve profit maximization while strictly guaranteeing delay constraints of all admitted tasks. Unlike existing studies, a timeaware task scheduling (TATS) algorithm that
论文类型：基础研究
论文编号：DOI: 10.1109/TASE.2017.2741965
一级学科：计算机科学与技术
文献类型：期刊
卷号：15
期号：3
页面范围：1138-1151
ISSN号：1545-5955
是否译文：否
CN号：null
发表时间：2018-07-01
收录刊物：SCI
发布期刊链接：https://ieeexplore-ieee-org-s.vpn.buaa.edu.cn:8118/document/8048035