Holistic Management of Sustainable Geo-Distributed Data Centers

Zahra Abbasi, Sandeep Gupta

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

2 Scopus citations

Abstract

This paper designs a holistic global workload management solution which explores diversities of a set of geo-distributed data centers and energy buffering in order to minimize the electricity cost, reduce the peak power drawn from utilities while maintaining the carbon capping requirement of the data centers. The prior work often designed solutions to address each of the aforementioned energy and cost optimization separately, disregarding the possible conflicts between the solutions' objectives. We propose a holistic solution to concurrently optimize the aforementioned potentially competing objectives. The proposed solution combines the techniques from Lyapunov optimization and predictive solution in order to manage the tradeoffs of electricity cost and carbon footprint reduction, and electricity cost and peak power cost reduction, respectively. The predicted data center parameters, being a significant aid to near optimally manage energy buffering and smoothing data centers' peak power draw, adversely affect the peak power cost due to the parameters' prediction error. The proposed holistic solution adapts stochastic programing to take the predicted parameters' randomness into consideration for minimizing the harmful impact of the prediction error. Our trace-based study confirms our analytical result that our holistic solution balances all the tradeoffs towards achieving energy and cost sustainability. Also our solution removes up to 66% of the prediction error impact in increasing the cost.

Original languageEnglish (US)
Title of host publicationProceedings - 22nd IEEE International Conference on High Performance Computing, HiPC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages426-435
Number of pages10
ISBN (Electronic)9781467384872
DOIs
StatePublished - Feb 2 2016
Event22nd IEEE International Conference on High Performance Computing, HiPC 2015 - Bengaluru, India
Duration: Dec 16 2015Dec 19 2015

Other

Other22nd IEEE International Conference on High Performance Computing, HiPC 2015
CountryIndia
CityBengaluru
Period12/16/1512/19/15

Keywords

  • Carbon Capping
  • Cloud Computing
  • Data Centers
  • Electricity Cost
  • Peak Power
  • Prediction Error

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computational Theory and Mathematics

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