Energy aware networked cloud mapping

  • Leivadeas A
  • Papagianni C
  • Papavassiliou S
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Cloud computing has emerged as the computing paradigm that enables the delivery of utility-based IT services to users. The hyper-growth of Cloud computing has led to increased power consumption with significant consequences both in terms of environmental and operational costs. Hence, over the last years, attention has been drawn to optimizing energy consumption at the data center, aimed at the reduction of carbon footprints. However the world of Cloud Computing is constantly developing, with new concepts introduced while additional challenges arise. In this paper, a method for energy efficient resource allocation is proposed, in the context of a networked cloud environment. The method employs dynamic server consolidation by periodic VM migration. The approach is validated conducting performance evaluation via simulation, while it is compared against energy aware / non energy aware methods, using a set of both power indication and resource allocation metrics.

Author-supplied keywords

  • Cloud
  • Dynamic Server Consolidation
  • Energy Awareness
  • Migration
  • Network Virtualization
  • Resource Allocation

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  • A. Leivadeas

  • C. Papagianni

  • S. Papavassiliou

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