Subsumption Reasoning for QoS-Based Service Matchmaking
Service-orientation has revolutionized the way applications are constructed and provisioned. To this end, a proliferation of web services is being increasingly available. To exploit such services, an accurate service discovery process is required with a suitable performance focusing both on functional and quality of service (QoS) aspects. In fact, QoS is the main distinguishing factor for the plethora of functionally-equivalent services available in the internet. Accuracy in service discovery comes via exploiting formal techniques and ontologies in particular. Satisfactory performance levels can be reached via using smart methods that intelligently organise the service advertisement space. In this paper, we propose smart ontology-based QoS-aware service discovery algorithms that exploit ontology subsumption as a means of matching QoS requests and offers. These algorithms exploit a variety of methods to structure the service advertisement space. Based on the empirical evaluation conducted, our proposed algorithms outperform the state-of-the-art in certain circumstances. To this end, ontology-based subsumption is indeed a promising technique to realise QoS-based service matchmaking.
KeywordsService Matchmaking Discovery QoS Ontology Subsumption
This research has received funding from the European Community’s Framework Programme for Research and Innovation HORIZON 2020 (ICT-07-2014) under grant agreement number 644690 (CloudSocket).
- 2.Dong, X., Halevy, A., Madhavan, J., Nemes, E., Zhang, J.: Similarity search for web services. In: VLDB 2004: Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, pp. 372–383. VLDB Endowment (2004)Google Scholar
- 4.Kritikos, K., Plexousakis, D.: Semantic QoS metric matching. In: ECOWS, pp. 265–274. IEEE Computer Society (2006)Google Scholar
- 10.Zhang, Y., Zheng, Z., Lyu, M.R.: WSPred: a time-aware personalized QoS prediction framework for web services. In: ISSRE (2011)Google Scholar
- 11.Zhou, C., Chia, L.T., Lee, B.S.: DAML-QoS ontology for web services. In: ICWS, p. 472. IEEE Computer Society (2004)Google Scholar