Selecting Top-k Composite Web Services using Preference-aware Dominance Relationship

Publisher:
IEEE Computer Society
Publication Type:
Conference Proceeding
Citation:
2013 IEEE 20th International Conference on Web Services, 2013, pp. 75 - 82
Issue Date:
2013-01
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Web service composition lets users create valueadded composite Web services on existent services, where topk composite services are helpful for users to find a satisfying composite service efficiently. However, with an increasing number of Web services and users various composition preferences, computing top-k composite services dynamically for different users is difficult. In view of this challenge, a top-k composite services selection method is proposed, based on a preference-aware service dominance relationship. Concretely speaking, firstly, user preferences are modeled with the preference-aware service dominance, and then, in local service selection, a multi-index based algorithm is proposed, named Multi-Index, for computing candidate services of each task dynamically. Then, in global optimization, combined with a service lattice, top-k composite services are selected under a dominant number-aware service ranking. At last, an experiment is presented to verify our method.
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