An Energy Saving-Oriented Incentive Mechanism in Colocation Data Centers

Ce Chi, Kaixuan Ji, Avinab Marahatta, Fa Zhang, Youshi Wang, Zhiyong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The size and amount of colocation data centers (colocations, for short) have been growing rapidly with the increasing popularity of cloud services, which ultimately causes a heavy burden on the power grid and the environment. However, even a colocation owner wishes to reduce its energy consumption, it may not be able to apply some effective energy saving techniques directly to the servers, since the servers belong to and are operated by its tenants. To solve the "uncoordinated relationship"issue between owners and tenants and achieve the energy reduction with a limited cost budget, an energy saving-oriented incentive mechanism, ESCo is proposed in this paper. Different from existing mechanisms that emphasize on minimizing the cost for the owners, our mechanism emphasizes on the maximization of the amount of energy saved by the tenants given a limited budget that the owner wants to pay for the energy saving. An algorithm is developed to realize a stable assignment in the mechanism. Trace-driven simulations based on real-world data are performed to verify the effectiveness of ESCo. The results show that ESCo can achieve 14.47% more energy saving than existing colocation incentive mechanisms.

Original languageEnglish
Title of host publicationICCCN 2020 - 29th International Conference on Computer Communications and Networks
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728166070
DOIs
Publication statusPublished - Aug 2020
Externally publishedYes
Event29th International Conference on Computer Communications and Networks, ICCCN 2020 - Honolulu, United States
Duration: 3 Aug 20206 Aug 2020

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
Volume2020-August
ISSN (Print)1095-2055

Conference

Conference29th International Conference on Computer Communications and Networks, ICCCN 2020
Country/TerritoryUnited States
CityHonolulu
Period3/08/206/08/20

Keywords

  • Colocation data center
  • cloud computing
  • energy efficiency
  • mechanism design

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