Profit Maximization for SaaS Provider using Improved Strategy for Resource Allocation in Cloud Computing Environment

In the present era of cut-throat competition, IT tools and services provided by cloud computing environment plays an important role in the success of any business organization. These services are offered by the SaaS providers, who act as a bridge between organizations and the available resources. These providers focus on the optimum utilization of available resources without violating the quality constraints and maximization of profit for gaining competitive advantage. The present research is an effort to maximize the profit of SaaS providers by devising an algorithm to overcome the limitation of present system. Renting of resources in heterogeneous environment has been suggested as a way to improve earnings. Also, dynamic scheduling and re-scheduling of available resources has been used to improve utilization of available resources. Aim is to control cost and gain customer loyalty. Thus, the objectives of the research are: 1) to design a knowledge-based algorithm for optimal allocation of resources; 2) to design an algorithm for scheduling of resources to maximize profit and control cost and 3) to propose a system model to earn maximum customer satisfaction.