A New Cloud Computing Service Composition Method Based on Particle Swarm Optimization Algorithm

Today cloud computing technology considered as a model and a new approach to solve the complex and big problems in Engineering Science, industry and trade and every day add to the number of applications. One of the controversial and knowledge - based issues in the services of software engineering is combination of service. Goal is find a optimal set of services that combined together and from combination of these services estimate a certain goal. In recent years, interest in combination of web service has increased with regard to its importance in scientific applications and the composition of the service can be useful in order to achieving to the goal of the requester of service .Therefore, the issue of how effective and efficient combination of web services attracts to itself many research fields. In this paper, a new method for combination of service in cloud computing based the particle Swarm Optimization algorithm is presented that the results of tests show that the proposed algorithm cause to decrease computations in cloud computing and solving processes in local web services and also it has a better performance as compared with ant colony algorithm

کلیدواژه ها:

Particle Swarm algorithm ، combination of service ، optimization ، cloud computing