A New Cloud Computing Service Composition Method Based on Particle Swarm Optimization Algorithm
Publish place: The Second International Conference on Web research
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IRANWEB02_015
تاریخ نمایه سازی: 9 مرداد 1395
Abstract:
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
Keywords:
Authors
Marzieh Malchi
M.A student, computer engineering group, Azad Islamic University, Arak, Iran
Mehdi Farta
Assistant professor, scientific group of the Azad Islamic University of the Azad Islamic, Arak unit, Arak, Iran