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Self-Adaptive QoS-Aware Web Service Discovery using Ontology Approach

Self-Adaptive QoS-Aware Web Service Discovery using Ontology Approach

Nwe Nwe Htay Win, Bao Jianmin, Cui Gang, Saif Ur Rehman
Copyright: © 2015 |Volume: 7 |Issue: 3 |Pages: 20
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781466676671|DOI: 10.4018/IJGHPC.2015070105
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MLA

Win, Nwe Nwe Htay, et al. "Self-Adaptive QoS-Aware Web Service Discovery using Ontology Approach." IJGHPC vol.7, no.3 2015: pp.65-84. http://doi.org/10.4018/IJGHPC.2015070105

APA

Win, N. N., Jianmin, B., Gang, C., & Rehman, S. U. (2015). Self-Adaptive QoS-Aware Web Service Discovery using Ontology Approach. International Journal of Grid and High Performance Computing (IJGHPC), 7(3), 65-84. http://doi.org/10.4018/IJGHPC.2015070105

Chicago

Win, Nwe Nwe Htay, et al. "Self-Adaptive QoS-Aware Web Service Discovery using Ontology Approach," International Journal of Grid and High Performance Computing (IJGHPC) 7, no.3: 65-84. http://doi.org/10.4018/IJGHPC.2015070105

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Abstract

In recent years, although semantic has been widely used in service discovery mechanisms, it still needs to exploit all semantic aspects included in service documents so that the discovered service can highly be relevant with user request. Moreover, it also needs to consider self-adaptability in discovering the services which can adapt to searching conditions or parameters in order to find other suitable and potential services if no feasible solution could exactly satisfy user QoS requirements. Therefore, this paper proposes a novel self-adaptive QoS-based service discovery mechanism which can adapt the discovery process with the help of semantically structured ontology trees if unexpected results are encountered. The discovery process matches the equivalences between service advertisement and requirement using three similarity evaluation criteria namely concept, attribute and constraint similarity. This discovery process is repeated until feasible solution is found and a set of most suitable services are returned to the users. The authors prototype their system called SQoSD to evaluate the efficiency and adaptability compared with OWLS-CPS and RQSS. The experimental results prove that our mechanism is superior to the other compared mechanisms.

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