Abstract
Optimization of web services composition is one of the most interesting challenges at present, since the composition of web services become a promising technology in a variety of areas. In fact, on the internet many services provide the same functionality. So, for one user request a set of compositions is proposed. In order to have the best one, we propose in this paper an approach based on the use of the Quantum Inspired Cuckoo Search Algorithm with the QoS as optimization criteria, to satisfy the user’s queries. More precisely, we propose two contributions: In the first one, we define an appropriate quantum representation for solutions. While in the second one, we propose a new randomized heuristic generating solutions starting from the user’s request. And globally, with our approach we will optimize the QoS-based web services composition in order to satisfy the user query by capturing his constraints. To illustrate our approach, we have implemented it as a prototype of a system and applied it on a text translation case study. The results obtained from this illustration are encouraging and express the feasibility and effectiveness of our approach.
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Boussalia, S.R., Chaoui, A. (2014). Optimizing QoS-Based Web Services Composition by Using Quantum Inspired Cuckoo Search Algorithm. In: Awan, I., Younas, M., Franch, X., Quer, C. (eds) Mobile Web Information Systems. MobiWIS 2014. Lecture Notes in Computer Science, vol 8640. Springer, Cham. https://doi.org/10.1007/978-3-319-10359-4_4
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DOI: https://doi.org/10.1007/978-3-319-10359-4_4
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