Genetic algorithmic approach for dynamic request processing in agent cloud platform

The cloud computing environment is a vast and important field subjected to various technological innovations. We contribute to this wide area of cloud computing by proposing a paradigm using agents which can be applied to improve the commerce between the producers and consumers in any industry. Our proposed work comprises of providing a platform on a cloud environment in which agents act together between the customers and producers, thereby analyzing the requests put forth by the customers and mapping it to the best suitable producer. This work involves the creation of producer agents and consumer agents. The proposed platform showcases the interaction of these agents to solve the presented problem efficiently. Also, a mathematical model has been proposed which acts as the underlying principle describing the working of the agents. The outcome of this work is the development of a cloud platform in which agents interact with one another to cater the requests of the users optimally.