Energy usage and carbon emission optimization mechanism for federated data centers

Dang Minh Quan, Andrey Somov, Corentin Dupont

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

9 Citations (Scopus)

Abstract

This work addresses the problem of high energy consumption and carbon emissions by data centers which support the traditional computing style. In order to overcome this problem we consider two allocation scenarios: single allocation and global optimization of available resources and propose the optimization algorithms. The main idea of these algorithms is to find a server in the data center with the lowest energy consumption and/or carbon emission based on current status of data center and service level agreement requirements, and move the workload there. The optimization algorithms are devised based on Power Usage Effectiveness (PUE) and Carbon Usage Effectiveness (CUE). The simulation results demonstrate that the proposed algorithms enable the saving in energy consumption from 10% to 31% and in carbon emission from 10% to 87%.

Original languageEnglish
Title of host publicationEnergy Efficient Data Centers - First International Workshop, E2DC 2012, Revised Selected Papers
Pages129-140
Number of pages12
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event1st International Workshop on Energy Efficient Data Centers, E2DC 2012 - Madrid, Spain
Duration: 8 May 20128 May 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7396 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Energy Efficient Data Centers, E2DC 2012
Country/TerritorySpain
CityMadrid
Period8/05/128/05/12

Keywords

  • data center
  • green computing
  • power consumption
  • resource management
  • traditional computing

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