Green Energy Forecast-Based Bi-Objective Scheduling of Tasks Across Distributed Clouds

Current large-scale green cloud data centers (GCDCs) tend to consume a huge amount of energy and generate enormous carbon emissions. Existing studies have tried to solve this problem by either realizing prediction of green energy, or optimizing task scheduling. In contrast, this work seamlessly comb...

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Vydáno v:	IEEE transactions on sustainable computing Ročník 7; číslo 3; s. 619 - 630
Hlavní autoři:	Bi, Jing, Yuan, Haitao, Zhang, Jia, Zhou, MengChu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.07.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Back propagation networks Clean energy Cloud computing Costs Data centers Energy Energy costs Errors Evolutionary algorithms Green clouds Green products intelligent optimization Irradiance machine learning multi-objective optimization algorithms Mutation Neural networks Optimization recurrent neural network Renewable energy Revenue Savitzky-Golay filter Scheduling Task analysis Task scheduling Time series analysis
ISSN:	2377-3782, 2377-3790
On-line přístup:	Získat plný text
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