Automation in cloud computing using constraint based agent

Automation in cloud computing may be defined as the allocation of appropriate services as per the requirement of the user. It manages the need of the consumer and faster provisioning of the best services in accordance with those objectives. For automation of cloud services an agent based framework has already been proposed by various researchers. In which there are set of agents that cooperate and collaborate by adapting certain behavior (i) to deal with consumer requirements, (ii) the discovery of services (iii) allocation of services, but doesn't ensure about the connection stability status of other agents (in on functioning or not) with any subset of agents. Due to lack of connection stability status there should be a chance that another random agent will not be available for the functionality of architecture but an intermediate agent tries to setup the communication bridge with that random agent. There might be a situation of halting condition. Hence, we propose a framework model, which provides a connection stability status detail with recent status and minimal amount of communication among agents. The proposed model makes use of multiprocessing environment with a shared memory, resulting in effective utilization of agents for the dealing with consumer requirements to the allocation of virtualized resources.