QoS-aware task placement in geo-distributed data centers with low OPEX using dynamic frequency scaling

Lin Gu, Deze Zeng, Song Guo

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

With the rising demands on cloud services, the electricity consumption has been increasing drastically as the main operational expenditure (OPEX) to data center providers. The geographical heterogeneity of electricity prices motivates us to study the task placement problem over geo-distributed data centers. We exploit the dynamic frequency scaling technique and formulate an optimization problem that inimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. The experimental results show that our proposal achieves much higher cost-efficiency than the traditional resizing scheme, i.e., by activating/deactivating certain servers in data centers.
Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
PublisherIEEE Computer Society
Pages80-84
Number of pages5
ISBN (Print)9780769550886
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013 - Zhangjiajie, Hunan, China
Duration: 13 Nov 201315 Nov 2013

Conference

Conference15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013
Country/TerritoryChina
CityZhangjiajie, Hunan
Period13/11/1315/11/13

Keywords

  • Cloud Computing
  • Data Center
  • DVFS
  • OPEX minimization

ASJC Scopus subject areas

  • Software

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