Deadline-aware energy management in data centers

Cengis Hasan, Zygmunt J. Haas

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

Abstract / Description of output

We study the dynamic energy optimization problem in data centers. We formulate and solve the following offline problem: given a set of jobs to process, where the jobs are characterized by arrival instances, required processing time, and completion deadlines, and given the energy requirements of switching servers ON or OFF, in which time-slot which server has to be assigned to which job; and in which time-slot which server has to be switched ON or OFF, so that the total energy is optimal for some time horizon. We formulate the offline problem as a binary integer program that can be considered as a new version of
generalized assignment problem which includes new constraints stemming from deadline characteristics of jobs and the activation energy of servers. We propose an online algorithm that solves the problem heuristically, and we compare it to random assignment solution.
Original languageEnglish
Title of host publication2016 IEEE International Conference on IEEE CloudCom 2016Cloud Computing Technology and Science (CloudCom)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages79-84
Number of pages6
ISBN (Electronic)978-1-5090-1445-3
ISBN (Print)978-1-5090-1446-0
DOIs
Publication statusPublished - 26 Jan 2017
Event8th IEEE International Conference on Cloud Computing Technology and Science - , Luxembourg
Duration: 12 Dec 201615 Dec 2016
http://2016.cloudcom.org/conf/

Publication series

Name
PublisherIEEE
ISSN (Electronic)2330-2186

Conference

Conference8th IEEE International Conference on Cloud Computing Technology and Science
Abbreviated titleCloudCom 2016
Country/TerritoryLuxembourg
Period12/12/1615/12/16
Internet address

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