DocumentCode
76756
Title
Harnessing renewable energy in cloud datacenters: opportunities and challenges
Author
Wei Deng ; Fangming Liu ; Hai Jin ; Bo Li ; Dan Li
Author_Institution
Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
28
Issue
1
fYear
2014
fDate
January-February 2014
Firstpage
48
Lastpage
55
Abstract
The proliferation of cloud computing has promoted the wide deployment of largescale datacenters with tremendous power consumption and high carbon emission. To reduce power cost and carbon footprint, an increasing number of cloud service providers have considered green datacenters with renewable energy sources, such as solar or wind. However, unlike the stable supply of grid energy, it is challenging to utilize and realize renewable energy due to the uncertain, intermittent and variable nature. In this article, we provide a taxonomy of the state-of-the-art research in applying renewable energy in cloud computing datacenters from five key aspects, including generation models and prediction methods of renewable energy, capacity planning of green datacenters, intra-datacenter workload scheduling and load balancing across geographically distributed datacenters. By exploring new research challenges involved in managing the use of renewable energy in datacenters, this article attempts to address why, when, where and how to leverage renewable energy in datacenters, also with a focus on future research avenues.
Keywords
computer centres; green computing; power consumption; renewable energy sources; capacity planning; cloud datacenters; generation models; green datacenters; intradatacenter workload scheduling; large-scale datacenters; load balancing; prediction methods; renewable energy; Cloud computing; Data centers; Energy harvesting; Green products; Predictive models; Renewable energy sources; Wind forecasting; Wind speed;
fLanguage
English
Journal_Title
Network, IEEE
Publisher
ieee
ISSN
0890-8044
Type
jour
DOI
10.1109/MNET.2014.6724106
Filename
6724106
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