Paper Title
Job Allocation Strategy To Avoid Further Migration In Cloud Computing

Cloud Computing is a rampant technology nowadays because of its scalability, flexibility, availability of resources and the other features. In cloud computing resource multiplexing is done through the virtualization technology. Virtualization technology is acts as a backbone for provisioning requirements of a cloud based solution. The problems arising in cloud computing using virtualization must be solved. In present cloud computing environment, load balancing is one of the challenging issues. An efficient load balancing using migration makes cloud computing more efficient, improves user satisfaction and can achieve green computing. With this migration approach, if load rebalancing is needed, it is difficult to find where to migrate the load. We present a better novel approach for solving this problem using prediction based migration algorithm by utilizing historical data. In this way we can avoid cascading migration and ensure the better load balancing.