Davide Bacciu
ABSTRACT
Service composition concerns both integration of heterogeneous distributed applications and dynamic selection of services. QoS-aware selection enables a service requester with certain QoS requirements to classify services according to their QoS guarantees. In this paper we present a method that allows for a fuzzy-valued description of QoS parameters. Fuzzy sets are suited to specify both the QoS preferences raised by a service requester such as 'response time must be as lower as possible and cannot be more that 1000ms' and approximate estimates a provider can make on the QoS capabilities of its services like 'availability is roughly between 95% and 99%'. We propose a matchmaking procedure based on a fuzzy-valued similarity measure that, given the specifications of QoS parameters of the requester and the providers, selects the most appropriate service among several functionally-equivalent ones. We also devise a method for dynamical update of service offers by means of runtime monitoring of the actual QoS performance.
- D. Bacciu, A. Botta, and H. Melgratti. A fuzzy approach for negotiating quality of services. In Proc. of TGC 2006, volume 4661 of Lecture Notes in Computer Science, pages 200--217. Springer, 2007. Google Scholar
Digital Library
- D. Bacciu, A. Botta, and D. Stefanescu. A framework for semantic querying of distributed data-graphs via information granules. In Proc. of ISC 2007. Acta Press, 2007. Google ScholarDigital Library
- D. Bacciu, M. Buscemi, and L. Mkrtchyan. Adaptive service selection - a fuzzy-valued matchmaking approach. Technical report, University of Pisa, 2009.Google Scholar
- V. Cross and T. Sudkamp. Similarity and compatibility in fuzzy set theory. Physica-Verlag, 2002. Google ScholarDigital Library
- Y. Liu, A. Ngu, and L. Zeng. QoS computation and policing in dynamic web service selection. In Proc. of the 13th Intern. World Wide Web Conference, 2004. Google ScholarDigital Library
- L. Mikhailov and P. Tsvetinov. Evaluation of services using a fuzzy analytic hierarchy process. In Applied Soft Computing 5, pages 23--33, 2004.Google Scholar
- A. Mukhija, A. Dingwall-Smith, and D. S. Rosenblum. QoS-aware service composition in dino. In Proc. of ECOWS 2007, pages 3--12. IEEE Comp. Society, 2007. Google ScholarDigital Library
- X. Wang and E. E. Kerre. Reasonable properties for the ordering of fuzzy quantities. Fuzzy Sets Systems, 118(3):375--405, 2001. Google ScholarDigital Library
- X. Wang, T. Vitvar, M. Kerrigan, and I. Toma. A QoS-aware selection model for semantic web services. In Proc. of ICSOC 2006, 2006. Google ScholarDigital Library
- R. Yager. On choosing between fuzzy subsets. Kibernetes, 9:151--154, 1980.Google ScholarCross Ref
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