Toward low-cost workload distribution for integrated green data centers

Abbas Kiani, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


This paper aims at maximizing the utilization of green energy and cutting the cost of electricity associated in provisioning computing services across a group of data centers. To this end, we propose the notion of green workload and green service rate, versus brown workload and brown service rate, respectively, to facilitate the separation of green energy utilization maximization and brown energy cost minimization problems. Accordingly, a workload distribution algorithm is designed such that the cost of electricity is reduced as compared with the existing workload distribution schemes.

Original languageEnglish (US)
Article number6953198
Pages (from-to)26-29
Number of pages4
JournalIEEE Communications Letters
Issue number1
StatePublished - Jan 1 2015

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


  • Cost of electricity
  • Data centers
  • Green energy


Dive into the research topics of 'Toward low-cost workload distribution for integrated green data centers'. Together they form a unique fingerprint.

Cite this