Journal of Software
Cloud computing paradigm has progressed as extremely ascendable services with increasing power on computation, massive storage possibility and the resources being obtained as service using cloud environment by providing guarantee to the service level. However, the subscriber requirement has increased to an extent that necessitates a big active platform for balancing the load though the available resources are shared according to the availability. With the advent of powerful network processors, the cloud computing paradigm also give rise to load balancing problem which has to be solved in an optimal manner in order to avoid deadlock and enhance resource effectiveness. To address the issue of energy conservation in cloud computing paradigm, the use of progressive traffic data from data centers applied a service invocation forecast model.