Fuzzy Softset based VM Selection in Cloud Datacenter

The data is increasing day to day exponentially, which increases demand for cloud storage that leads to the establishment of an enormous number of cloud data centers. But usage of cloud data center employs huge amounts of electrical power and end up costly. Virtual machine consolidation decreases Service Level Agreement (SLA) Violations and energy consumption. In order to achieve that optimal selection of VM for migration is needed. Existing approaches concentrate on one selection factor at a time for VM selection. But the proposed algorithm considers all four selection parameters at a time using fuzzy soft set theory. The experimental results show that the proposed FSS-RCMCor algorithm efficiently selects VM for migration than the existing algorithms with minimum SLA violation rate and less number of Virtual machine migrations, and maximum energy efficiency.