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User-preferences based service selection model in large-scale services with various QoS properties |
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| Authors: | LIU Hui XU Dong XU De-zhen LEI Zhou ZHANG Long |
| Institution: | 1. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China 2. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China;High Performance Computing Center, Shanghai University, Shanghai 200072, P.R.China 3. Lenovo Mobile Communication Technology Limited, Beijing 100085, P.R.China |
| Abstract: | With the rapid growth of service scale, there are many services with the same functional properties but different non-functional properties on the Internet. There have been some global optimizing service selection algorithms for service selection. However, most of those approaches cannot fully reflect users’ preferences or are not fully suitable for large-scale services selection. In this paper, an ant colony optimization (ACO) algorithm for the model of global optimizing service selection with various quality of srevice (QoS) properties is employed, and a user-preference based large-scale service selection algorithm is proposed. This algorithm aims at optimizing user-preferred QoS properties and selecting services that meet all user-defined QoS thresholds. Experiment results prove that this algorithm is very efficient in this regard. |
| Keywords: | service selection quilty of service(QoS) ant colony optimization(ACO) |
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