Improved Performance of cloud services using Artificial Neural Network

Abstract

The machines that operate in a virtual environment are deployed on the cloud. The load of work is distinguished for each application. Bandwidth, need of network, load & other superiorities for assessment of load of work rely on various attributes of application. Variegated resources that are needed by the websites formulated on the category of e-business can be accumulated by the providers of cloud. The goal of this stratagem is to figure out the number of resources that are needed for management of load of work in an efficient manner. A model formulated on Neural Network is suggested by this thesis to assess the load of work of a website of e business that t puts on a cloud. The tools of matlab & data of amazon will help to perform simulation that will be deployed as sample of model.