Self-Economy in Cloud Data Centers: Statistical Assignment and Migration of Virtual Machines

The success of Cloud computing has led to the establishment of large data centers to serve the increasing need for on-demand computational power, but data centers consume a huge amount of electrical power. The problem can be alleviated by mapping virtual machines, VMs, which run client applications, on as few servers as possible, so that some servers with low traffic can be put in low consuming sleep modes. This paper presents a new approach for the adaptive assignment of VMs to servers and their dynamic migration, with a twofold goal: reduce the energy consumption and meet the Service Level Agreements established with users.

Provided by: Springer Science+Business Media Topic: Cloud Date Added: Jul 2011 Format: PDF

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