articleDec 7, 2008Closed access

Energy aware consolidation for cloud computing

Pennsylvania State University · Microsoft (United States)

Abstract

Consolidation of applications in cloud computing envi-ronments presents a significant opportunity for energy optimization. As a first step toward enabling energy effi-cient consolidation, we study the inter-relationships be-tween energy consumption, resource utilization, and per-formance of consolidated workloads. The study reveals the energy performance trade-offs for consolidation and shows that optimal operating points exist. We model the consolidation problem as a modified bin packing prob-lem and illustrate it with an example. Finally, we outline the challenges in finding effective solutions to the con-solidation problem. 1

Citation impact

778
total citations
FWCI
75.23
Percentile
100%
References
9
Citations per year

Authors

3

Topics & keywords

Keywords
  • Consolidation (business)
  • Cloud computing
  • Computer science
  • Energy consumption
  • Bin packing problem
  • Distributed computing
  • Bin
  • Engineering
UN Sustainable Development Goals
  • Affordable and clean energy
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