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- 저자 : Saied Asghari (검색결과 1 건)
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Nima Jafari Navimipour,Saied Asghari 대한전자공학회 2017 대한전자공학회 학술대회 Vol.2017 No.1
In the past few years, with the extension of distribution systems such as the Internet and web services, grid systems emerged to be one of the utilizable solutions to response the huge computing needs. Grid systems offer a vast amount of calculating resources from multiple administrative domains to reach the main goal. One of the main challenges in these systems is to choose the appropriate services for combination. According to the service-oriented architecture paradigm, the composite service consists of a set of abstract tasks interconnected by various workflow constructs. Consumed energy in these systems is an important issue; however, in many of the previous methods, it is not considered. Therefore, this paper proposes a new service composition mechanism based on an ant colony optimization algorithm (ACO) to reduce the consumed energy. The ACO algorithm is a famous meta-heuristic algorithm where ants try to select the best node for moving in each iteration. Java programming language is used to evaluate the proposed method in terms of the consumed energy and execution time. The obtained results showed better performance of the proposed algorithm in comparison with the greedy algorithm.
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