Carbon-aware load balancing for geo-distributed cloud services
Refereed conference paper presented and published in conference proceedings


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AbstractRecently, data center carbon emission has become an emerging concern for the cloud service providers. Previous works are limited on cutting down the power consumption of the data centers to defuse such a concern. In this paper, we show how the spatial and temporal variabilities of the electricity carbon footprint can be fully exploited to further green the cloud running on top of geographically distributed data centers. We jointly consider the electricity cost, service level agreement (SLA) requirement, and emission reduction budget. To navigate such a three-way tradeoff, we take advantage of Lyapunov optimization techniques to design and analyze a carbon-aware control framework, which makes online decisions on geographical load balancing, capacity right-sizing, and server speed scaling. Results from rigorous mathematical analyses and real-world trace-driven empirical evaluation demonstrate its effectiveness in both minimizing electricity cost and reducing carbon emission. © 2013 IEEE.
All Author(s) ListZhou Z., Liu F., Xu Y., Zou R., Xu H., Lui J.C.S., Jin H.
Name of Conference2013 IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication, MASCOTS 2013
Start Date of Conference14/08/2013
End Date of Conference16/08/2013
Place of ConferenceSan Francisco, CA
Country/Region of ConferenceUnited States of America
Detailed descriptionorganized by IEEE,
Year2013
Month12
Day1
Pages232 - 241
ISBN9780769551029
ISSN1526-7539
LanguagesEnglish-United Kingdom

Last updated on 2020-27-11 at 02:04