Toward low-cost workload distribution for integrated green data centers

Abbas Kiani; Nirwan Ansari

doi:10.1109/LCOMM.2014.2369459

Toward low-cost workload distribution for integrated green data centers

Abbas Kiani, Nirwan Ansari

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

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 language	English (US)
Article number	6953198
Pages (from-to)	26-29
Number of pages	4
Journal	IEEE Communications Letters
Volume	19
Issue number	1
DOIs	https://doi.org/10.1109/LCOMM.2014.2369459
State	Published - Jan 1 2015

All Science Journal Classification (ASJC) codes

Modeling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Keywords

Cost of electricity
Data centers
Green energy

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10.1109/LCOMM.2014.2369459

Cite this

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Toward low-cost workload distribution for integrated green data centers

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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