Leveraging Heterogeneity for Energy Minimization in Data Centers

  • Authors:
  • Marina Zapater;Jose L. Ayala;Jose M. Moya

  • Affiliations:
  • -;-;-

  • Venue:
  • CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Energy consumption in data centers is nowadays a critical objective because of its dramatic environmental and economic impact. Over the last years, several approaches have been proposed to tackle the energy/cost optimization problem, but most of them have failed on providing an analytical model to target both the static and dynamic optimization domains for complex heterogeneous data centers. This paper proposes and solves an optimization problem for the energy-driven configuration of a heterogeneous data center. It also advances in the proposition of a new mechanism for task allocation and distribution of workload. The combination of both approaches outperforms previous published results in the field of energy minimization in heterogeneous data centers and scopes a promising area of research.