Resource Management using Feed Forward ANN-PSO in Cloud Computing Environment
Narander Kumar, Pooja P. Patel · 2016
In cloud computing Environment creates a huge amount of requests for the same type of resources according to the future plan. This situation created many problems, challenges and issues in a cloud computing Environment. To handle such huge amount of requests of resources in dynamic and heterogeneous cloud computing environment, so require such scheduling algorithm that can resolve all these problems and takes decision on how to allocate Virtualized resources to the request in a cloud Environment. In this paper, the main aim to minimize the cost and Makespan and resolve their issues like Dynamic and heterogeneous cloud computing environment, reliability, availability and overloaded problem. To make available a solution to all those problems we go through ANN-PSO model to implant in the cloud computing environment. We perform experiments using ANN-PSO Model in a cloud computing environment by analyzing the same parameters of cloud like the estimated time of request and resources, performance analysis, utilization of resources, Number of particles and their Makespan and cost, fitness function. By this we find out the result that achieves the lowest cost, Makespan and resolve all these issues by using ANN-PSO model. In addition ANN-PSO Model is adjusting according to their different quality of service constraints.