Intelligent Management of Remote Facilities and Quality of Cloud Services

Cloud Computing is a new and vast area that is impacting new business model and is heavily using the network as a platform. As the number of cloud services grow, it will be difficult to find the appropriate Cloud service suitable for our needs. We combine the service selection algorithm and ranking mechanism along with particle swarm optimization algorithm to find the appropriate service matching our needs. We are using Quality of Service as our main criteria. We consider travelling as our subject and take availability, reliability and price as our measure of Quality of Service. We use multi-objective optimization strategies to find the best Cloud service.