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发表刊物：IEEE Transactions on Cloud Computing

刊物所在地：美国

关键字：Green data centers, distributed computing, task scheduling, profit maximization, convex optimization

摘要：Infrastructure in Distributed Green Data Centers (DGDCs) is concurrently shared by multiple different applications to flexibly provide a growing number of services to global users in a cost-effective way. A highly challenging problem is how to maximize the total profit of the DGDC provider in a market where Internet Service Provider (ISP) bandwidth price, availability of green energy, price of power grid, and revenue brought by the execution of tasks all vary with geographical locations. Unlike existing studies, this work proposes a Geography-Aware Task Scheduling (GATS) approach by considerin

论文类型：基础研究

论文编号：DOI: 10.1109/TCC.2020.3001051

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：1-10

ISSN号：2168-7161

是否译文：否

CN号：null

发表时间：2020-06-09

收录刊物：SCI

发布期刊链接：https://ieeexplore-ieee-org-s.vpn.buaa.edu.cn:8118/document/9112635