Description

Cloud computing is rapidly improving the latest technology. It is a term which is generally used in internet. This technological trend has enabled the realization of a new computing model called cloud computing, in which shared resources, information ,software & other devices are provided according to client requirement at specific time, are provided as general utilities that can be leased and released by users through the Internet in an on-demand fashion. Cloud computing involves virtualization, distributing computing, platform, infrastructure, software & web based services. Load balancing is challenging issues in cloud environment. It is the process of distribution of the load among various nodes of distributed system so that the better utilization of resources while also avoiding the situation where some nodes are overloaded and some nodes are idle or under loaded. Many algorithm were suggested to provide the better utilization of resources on the basis of on-Demand Services. Cloud computing is rapidly improving the latest technology. It is a term which is generally used in internet. The existing system provides a reactive and proactive VM provisioning approach for the application server tier. The existing system is difficult to provide a good tradeoff between cost and performance. In this project the system propose a novel approach to consolidate multiple web applications in a cloud-based shared hosting environment. We present an algorithm based on the meta-heuristic optimization technique, Particle Swarm Optimization(PSO), which aims to minimize the overall workflow execution cost while meeting deadline constraints. Our heuristic is evaluated using Cloud Sim and various well-known scientific workflows of different sizes. The results show that our approach performs better than the current state-of-the-art algorithms.