Resource Optimization in Cloud Computing Environment Using Soft Computing Techniques

Abstract

In the last few years, cloud computing carved itself as a most discussed and acceptable technology in the field of computer science. Cloud computing perfectly fills the gap for the much demanded computing model whose services can be commoditized and delivered similar to the other traditional utilities like electricity, gas, telephone and water. Users just need to access the required services based on the demands without going into any background details like where such services are lying and how they will be delivered etc. Cloud computing model reaping the advantages offered by the concept of parallel and distributed computing to provide the resources like hardware, software and information to the intended machine on sharing basis and charge their customer by following the pay per use model. The kind of services offered by this model attracts the people from both academia and industry as it also enables them to reduce or eliminate the cost associated with the in house provisioning of such computing services.The main aim of this research work is to develop an efficient scheduling mechanism which will results in the optimization of the underlying resources and helps both the consumer and providers from the business point of view. newlineMajor findings of this research work are: a. Tried to present the much clearer picture of cloud computing model, so that the future researchers will be able to understand the concept from the single document. b. Brief analysis of major work done so far to solve the problem of load balancing and task scheduling in cloud computing. c. Formulation of improved PSO based task scheduling mechanism for cloud computing. d. Development of load balanced aware task scheduling for the optimal usage of the resources using genetic algorithm. e. Development of PSOGA a hybrid approach for the task scheduling in cloud computing environment. newline