Optimal Task Placement with QoS Constraints in Geo-Distributed Data Centers Using DVFS

Lin Gu, Deze Zeng, Ahmed Barnawi, Song Guo, Ivan Stojmenovic

Research output: Journal article publicationJournal articleAcademic researchpeer-review

70 Citations (Scopus)


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 minimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. Furthermore, an optimal solution is discovered for this formulated problem. 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
Article number6880372
Pages (from-to)2049-2059
Number of pages11
JournalIEEE Transactions on Computers
Issue number7
Publication statusPublished - 1 Jul 2015
Externally publishedYes


  • cost minimization
  • Data center
  • dynamic voltage frequency scaling
  • request mapping

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics


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