Energy Efficient Resource Allocation Strategy for Cloud Data Centres

نویسندگان

  • Dang Minh Quan
  • Robert Basmadjian
  • Hermann de Meer
  • Ricardo Lent
  • Toktam Mahmoodi
  • Domenico Sannelli
  • Federico Mezza
  • Luigi Telesca
  • Corentin Dupont
چکیده

Cloud computing data centres are emerging as new candidates for replacing traditional data centres. Cloud data centres are growing rapidly in both number and capacity to meet the increasing demands for highly-responsive computing and massive storage. Making the data centre more energy efficient is a necessary task. In this paper, we focus on the organisation’s internal Infrastructure as a Service (IaaS) data centre type. An internal IaaS cloud data centre has many distinguished features with heterogeneous hardware, single application, stable load distribution, lived load migration and highly automated administration. This paper will propose a way of saving energy for IaaS cloud data centre considering all stated constraints. The basic idea is rearranging the allocation in a way that saving energy. The simulation results show the efficiency of the method.

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تاریخ انتشار 2011