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 user needs. The authors combine the service selection algorithm and ranking mechanism along with particle swarm optimization algorithm to find the appropriate service matching user needs. They are using Quality of Service as their main criteria. They consider travelling as their subject and take availability, reliability and price as their measure of Quality of Service. They use multi-objective optimization strategies to find the best Cloud service.