Profit maximization for geographically dispersed green data centers

Abbas Kiani, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

47 Scopus citations


This paper aims at maximizing the profit associated with running geographically dispersed green data centers, which offer multiple classes of service. To this end, we formulate an optimization framework which relies on the accuracy of the G/D/1 queue in characterizing the workload distribution, and taps on the merits of the workload's decomposition into green and brown workloads served by green and brown energy resources, respectively. Moreover, we take into account not only the service level agreements between the data centers and clients but also different deregulated electricity markets of data centers located at different regions. We prove the convexity of our optimization problem, and the performance of the proposed workload distribution strategy is evaluated via extensive simulations.

Original languageEnglish (US)
Pages (from-to)703-711
Number of pages9
JournalIEEE Transactions on Smart Grid
Issue number2
StatePublished - 2018

All Science Journal Classification (ASJC) codes

  • General Computer Science


  • Cost of electricity
  • Data centers
  • Green energy


Dive into the research topics of 'Profit maximization for geographically dispersed green data centers'. Together they form a unique fingerprint.

Cite this