In Existing System using three specialized versions of well-known Meta heuristics, namely Genetic Algorithms (GA), Simulated Annealing (SA) and Tabu Search (TS) this makes the framework useful for runtime composition and re-composition in enterprise environments because the overhead is minimal. The Optimization of the user requirements is performed by using OMOPS algorithm. The user preference is understood by the system instead of getting queries from the user performed through SPEA-II algorithm. The fuzzy logic of the user is understood by the system in the user point of view by using NSGA-II. The number of cloud service is providing as a single cloud service by making use of cloud composition. A Cloud service composition optimisation technique that allows non-expert Cloud users to set their preferences. In existing system, security is not provided for cloud service provider. In proposed system providing security to cloud service provider to evaluate reliability and trust of providers from user feedbacks and monitoring services together this consists of collecting required raw data from trusted sources and statistically analyzing and aggregating them. When the number of preferences defined by the user using the if-then rule increases, the solution’s prominence in proposed system calculate the user trust values because only trusted values to be considered this will provide the security to cloud When untrusted values are come it will be deleted Using Integer Linear Programming to optimize the cost and time.