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Thermal-Aware Scheduling in Green Data

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Abstract
Data centers can go green by saving electricity in two major areas: computing and cooling. Servers in data centers require a constant supply of cold air from on-site cooling mechanisms for reliability. An increased computational load makes servers dissipate more power as heat and eventually amplifies the cooling load. In thermal- aware scheduling, computations are scheduled with the objective of reducing the data- center-wide thermal gradient, hotspots, and cooling magnitude. Complemented by heat modeling and thermal- aware monitoring and profiling, this scheduling is energy efficient and economical. A survey is presented henceforth of thermal- ware scheduling and associated techniques for green data centers.
Author(s)
Chaudhry, Muhammad TayyabLing, Teck ChawManzoor, AtifHussain, Syed AsadKim, Jong Won
Issued Date
2015-04
Type
Article
DOI
10.1145/2678278
URI
https://scholar.gist.ac.kr/handle/local/14772
Publisher
Association for Computing Machinary, Inc.
Citation
ACM Computing Surveys, v.47, no.3
ISSN
0360-0300
Appears in Collections:
Department of AI Convergence > 1. Journal Articles
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