A predictive control approach for energy-aware consolidation of virtual machines in cloud computing (Contributo in atti di convegno)

Type
Label
  • A predictive control approach for energy-aware consolidation of virtual machines in cloud computing (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • M. Gaggero; L. Caviglione (2014)
    A predictive control approach for energy-aware consolidation of virtual machines in cloud computing
    in 53rd IEEE Conference on Decision and Control, Los Angeles (USA), 15-17 December 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • M. Gaggero; L. Caviglione (literal)
Pagina inizio
  • 5308 (literal)
Pagina fine
  • 5313 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1. Institute of Intelligent Systems for Automation (ISSIA), National Research Council of Italy, I-16149 Genoa 2. Institute of Intelligent Systems for Automation (ISSIA), National Research Council of Italy, I-16149 Genoa (literal)
Titolo
  • A predictive control approach for energy-aware consolidation of virtual machines in cloud computing (literal)
Abstract
  • The widespread diffusion of Infrastructure-as-a- Service and cloud computing paradigms requires large-scale data centers with thousands of running nodes and high energy demands, thus causing relevant economical and environmental costs. In this perspective, the paper presents an energy-aware consolidation strategy based on predictive control, in which virtual machines are migrated among nodes to reduce the number of active units. To describe a general cloud infras- tructure, a discrete-time dynamic model is presented together with constraints. The migration strategies of virtual machines are obtained by solving finite-horizon optimal control problems involving integer variables. To reduce the computational effort, approximate solutions are searched for via Monte Carlo opti- mization. Besides power savings, the proposed method allows one to reduce violations of the service level agreement and aggressive on/off cycles of nodes. To showcase the effectiveness of the proposed approach, preliminary simulation results are provided. (literal)
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