Green power analysis for Geographical Load Balancing based datacenters

Chuansheng Dong, Fanxin Kong, Xue Liu, Haibo Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Variability and intermittency of green power is the main obstacle for its utilization. Different from other power consumption, due to the distributed nature, load balancing on geographical range can be used to dispatch computing tasks to the data centers with abundant renewable energy. The premise of this new strategy is: there is always abundant green power at some of the renewable power portfolio, yet this is not always the truth. The stable availability of renewable energy is built on the compensation of different power plants, but due to the constraint of constructed data centers and the on-site powering strategy, this compensation effect has not been fully explored. In this paper, we propose a solution for Renewable Energy Portfolio Optimization (REPO) problem, and take wind farm location selection as an example to stabilize the variable and intermittent wind power. The simulation is conducted based on the real-world climatic traces from 607 candidate wind farms. The optimal renewable energy portfolio can provide stable wind power supply at the price of 70 USD/MWh. When simulated with Google workload trace of May 2011, with installed capacity 4 times of average power demand, REPO can save 59.5% of energy while a combination (on Google data center locations) without consideration of mutual compensation could only save 30%.

Original languageEnglish (US)
Title of host publication2013 International Green Computing Conference Proceedings, IGCC 2013
PublisherIEEE Computer Society
ISBN (Print)9781479906222
DOIs
StatePublished - Jan 1 2013
Externally publishedYes
Event2013 International Green Computing Conference, IGCC 2013 - Arlington, VA, United States
Duration: Jun 27 2013Jun 29 2013

Publication series

Name2013 International Green Computing Conference Proceedings, IGCC 2013

Other

Other2013 International Green Computing Conference, IGCC 2013
CountryUnited States
CityArlington, VA
Period6/27/136/29/13

ASJC Scopus subject areas

  • Software

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  • Cite this

    Dong, C., Kong, F., Liu, X., & Zeng, H. (2013). Green power analysis for Geographical Load Balancing based datacenters. In 2013 International Green Computing Conference Proceedings, IGCC 2013 [6604504] (2013 International Green Computing Conference Proceedings, IGCC 2013). IEEE Computer Society. https://doi.org/10.1109/IGCC.2013.6604504