Cloud computing utilizes large scale computing infrastructure that has been radically changing the ITlandscape enabling remote access to computing resources with low service cost, high scalability ,availability and accessibility. Serving tasks from multiple users where the tasks are of differentcharacteristics with variation in the requirement of computing power may cause under or over utilizationof resources.Therefore maintaining such mega-scale datacenter requires efficient resource managementprocedure to increase resource utilization. However, while maintaining efficiency in service provisioning itis necessary to ensure the maximization of profit for the cloud providers. Most of the current researchworks aims at how providers can offer efficient service provisioning to the user and improving systemperformance. There are comparatively fewer specific works regarding resource management which alsodeals with the economic section that considers profit maximization for the provider. In this paper werepresent a model that deals with both efficient resource utilization and pricing of the resources. The jointresource management model combines the work of user assignment, task scheduling and load balancingon the fact of CPU power endorsement. We propose four algorithms respectively for user assignment, taskscheduling, load balancing and pricing that works on group based resources offering reduction in taskexecution time(56.3%),activated physical machines(41.44%),provisioning cost(23%) . The cost iscalculated over a time interval involving the number of served customer at this time and the amount ofresources used within this time.