A Novel Optimized Utilization of Resources using PSO and Update and Improve Particle Swarm Optimization Algorithms in Cloud Computing

In cloud computing, resources are provided as a service to its users. Dynamic services are provided by the cloud computing model which provides virtualized resources over the internet for enabling applications and these services comes from large scale data Centre’s which are called as cloud. Cloud computing totally depends on internet to deliver its services to the users. Cloud computing has large number of benefits i.e. user has to pay as they use(weekly, monthly or yearly), any person having internet connection can access cloud, there is no need to buy resources(hardware, software) by themselves. This paper proposes a new algorithm i.e Hybrid improved particle swarm optimization with mutation crossover (HIPSOMC) to get maximum benefit from resources, optimized utilization of resources is important and for this scheduling plays an important role. The proposed algorithm is much more efficient then the previously designed algorithms i.e. particle swarm optimization, simulated annealing and improved particle swarm optimization and consumes less execution time.