Performance Analysis of Various Architectural Approaches in Cloud Computing Environment for Energy and Bandwidth Minimization

Cloud Computing is one of the mainly admired subject in the computational world. It is support to processing the data that was emerged by profitable infrastructure. Cloud computing consist of large number of servers comprising of both virtual and physical servers in order to provide the resources in an optimal manner. The evolution of Cloud computing provides customers the illusion of infinite computing resources which are available from anywhere, anytime, on demand. It offers a user the service (called “Infrastructure as a Service” IaaS) of renting computing resources over the Internet. Some of the important issues related to cloud computing are the cloud rely on large scale infrastructures, consumes maximum bandwidth and high energy consumption to obtain the process. The user can select from different types of computing resources based on the requirements. In this work, we have evaluated several existing cloud computing techniques related on energy and bandwidth consumption. Various Energy conservation strategies and resource allocation strategies and their challenges are discussed for which the results obtained can be benefitted by both researchers and cloud users. The work also evaluates the impact created by the resource while performing scheduling during various aspects, including number of users involved in cloud, types of resources used and the total number of data centers involved while performing the analysis. The result of survey not only measures the similarities and differences of the different architectural approaches presented for cloud users but also to identify areas requiring further research.