Revenue Management in Cloud Computing Using Genetic Algorithms

Revenue maximizing (while providing their services and products using limited capacity) and establishment of long-term business relations with their customers is the primary target of a cloud service provider. Customer behaviour is dynamic and unpredictable in cloud computing industry. The way, how requests are accepted in a dynamic environment, can influence the demand behaviour of price sensitive customers. A Cloud service provider has to make decision on how to utilize his scarce resources in order to maximize his profit. For this he has to evaluate the incoming requests for capacity control in cloud revenue management. The paper introduces a system which tries to maximize the profit of the cloud service provider by optimizing the system by using genetic algorithm. Whenever customer made a request, the request is analyzed by the system, and then according to the prefix criteria it is decided that the request should be accepted or not.