A service framework for energy-aware monitoring and VM management in Clouds

  • Authors:
  • Gregory Katsaros;Josep Subirats;J. Oriol Fitó;Jordi Guitart;Pierre Gilet;Daniel Espling

  • Affiliations:
  • National Technical University of Athens (NTUA), Greece;Universitat Politecnica de Catalunya (UPC) and Barcelona Supercomputing Center (BSC), Spain;Universitat Politecnica de Catalunya (UPC) and Barcelona Supercomputing Center (BSC), Spain;Universitat Politecnica de Catalunya (UPC) and Barcelona Supercomputing Center (BSC), Spain;High Performance Computing Center Stuttgart (HLRS), Germany;UmeåUniversity and High Performance Computing Center North (HPC2N), Sweden

  • Venue:
  • Future Generation Computer Systems
  • Year:
  • 2013

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Abstract

The monitoring of QoS parameters in Services Computing as well as in Clouds has been a functionality provided by all contemporary systems. As the optimization of energy consumption becomes a major concern for system designers and administrators, it can be considered as another QoS metric to be monitored. In this paper, we present a service framework that allows us to monitor the energy consumption of a Cloud infrastructure, calculate its energy efficiency, and evaluate the gathered data in order to put in place an effective virtual machine (VM) management. In that context, a simulation scenario of an eco-driven VM placement policy resulted in a 14% improvement of the infrastructure's energy efficiency. In total, the proposed approaches and implementations have been validated against a testbed, producing very promising results regarding the prospect of energy efficiency as an important quality factor in Clouds.