Performance of particle swarm optimization bin packing algorithm for dynamic virtual machine placement for the consolidation of cloud server

Abstract Infrastructure as a service offered by the cloud computing is one of most important service. It allows physical machines to get virtualized creating many instances virtual machines. Mapping on machine has become major challenge in data centres. The dynamic placement methods are used solve this issue with objectives like maximizing resource utilization, minimizing energy consumption and scalability In paper placement-based bin packaging algorithm proposed analysed four different fitness strategies obtain optimal solution. unimodal (Sphere, Step) multimodal (Graywang Rastridge) benchmark functions for analysis quantitative measurements. results show that optimizing mass particles using best fitting strategy reduces consumption, utilization improved