Authors' Names: Neelam D.S., Dr. Ramani S
Abstract:Â Cloud Computing technology is enabling a ubiquitous network access to the shared pool of configurable computing resources. Scalability is critical to the success of many enterprises currently involved in doing business on the web applications and in providing information that may vary drastically from one time to another. Maintaining sufficient resources to meet requirements can be costly. By deploying a web application to Infrastructure-as-a-Service clouds increases the array of virtual machine types with qualitatively defined CPU, disk, and network I/O capabilities. To illustrate these decisions, analysts must: understand how their web applications behaves in the cloud; quantify representative of workloads for execution; and support service level objectives regardless of the performance limits of the hosting infrastructure. In this paper, we introduce a dynamic prediction Algorithm. The Main work has demonstrated the compelling benefits of the Cloud which is capable of handling sudden load balancing, delivering IT resources on-demands to users, and maintaining higher resource utilization across a pool of Virtual Machines, thus reducing infrastructure and management costs
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