Abstract
Virtual machine (VM) consolidation is an intelligent and efficient strategy to balance the load of cloud data centers. VM consolidation includes a most important subproblem, i.e., VM placement problem. The basic objective of VM placement is to minimize the use of running physical machines (PMs). An enhanced levy based particle swarm optimization algorithm with variable sized bin packing (PSOLBP) is proposed for solving VM placement problem. Moreover, the best fit strategy is also used with the variable sized bin packing problem (VSBPP). Simulations are performed to check the performance of the proposed algorithm. The proposed algorithm is compared with simple particle swarm optimization (PSO) and the hybrid of levy flight and particle swarm optimization (LFPSO). The proposed algorithm efficiently minimized the number of running PMs. Matlab is used for simulations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
