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Power Consumption Analysis of Replicated Virtual Applications in Heterogeneous Architectures

In: Digitally Supported Innovation

Author

Listed:
  • Gianfranco Ciardo

    (Iowa State University)

  • Marco Gribaudo

    (Informazione E Bioingegneria, Politecnico Di Milano)

  • Mauro Iacono

    (Seconda Università Degli Studi Di Napoli)

  • Andrew Miner

    (Iowa State University)

  • Pietro Piazzolla

    (Informazione E Bioingegneria, Politecnico Di Milano)

Abstract

Nowadays, power consumption in IT infrastructures is a major area of concern for both academia and industry. In data centers where computational power is provided by means of virtualized resources, like virtual machines, the policy to allocate them on physical servers can strongly impact the power consumption of the entire system. This affects data center management, and proper estimation means can offer an important guidance to administrators. We propose a lumped Petri net model to investigate the contribution to energy efficiency due to different allocation and deallocation policies on heterogeneous machines with different power demands, to support estimation and planning of datacenter needs.

Suggested Citation

  • Gianfranco Ciardo & Marco Gribaudo & Mauro Iacono & Andrew Miner & Pietro Piazzolla, 2016. "Power Consumption Analysis of Replicated Virtual Applications in Heterogeneous Architectures," Lecture Notes in Information Systems and Organization, in: Leonardo Caporarello & Fabrizio Cesaroni & Raphael Giesecke & Michele Missikoff (ed.), Digitally Supported Innovation, pages 285-297, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-40265-9_21
    DOI: 10.1007/978-3-319-40265-9_21
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