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A key issue in cloud computing environments is to maximize profit by accepting all incoming requests and to minimize SLA violation that causes penalty for cloud providers. Achieving these goals highly depends on optimum usage of available resources in data-centers. So far other works have focused on provisioning QoS in the cloud. In this work as an alternative to others we describe shortcomings caused by the lack of resource management mechanism and propose a mathematical model for this issue to better describe it. Then we propose a heuristic algorithm to improve resource management and finally we use fuzzy systems to apply our expertise knowledge to solve the problem. Experimental results on eucalyptus as a private cloud shows that proposed algorithms with suitable management of resources result in an increment of profit by reducing rejected requests of the cloud.