QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Current Solutions for Web Service Composition
IEEE Internet Computing
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Heuristics for QoS-aware Web Service Composition
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Investigating web services on the world wide web
Proceedings of the 17th international conference on World Wide Web
A Hybrid Approach to QoS-Aware Service Composition
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
WSRec: A Collaborative Filtering Based Web Service Recommender System
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
Selecting skyline services for QoS-based web service composition
Proceedings of the 19th international conference on World wide web
A caching mechanism for semantic web service discovery
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
QoS-Aware Service Composition: A Survey
ECOWS '10 Proceedings of the 2010 Eighth IEEE European Conference on Web Services
Service selection algorithms for composing complex services with multiple qos constraints
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
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Web service composition enables seamless and dynamic integration of business applications on the web. With the growing number of web services that provide the same functionality but differ in quality parameters, the QoS-aware service composition becomes a decision problem on which component services should be selected such that the quality of the composite service is optimized and user preference is satisfied. In this paper, we presented a caching mechanism for this problem, which can be complementary to most of current approaches to enhance the efficiency. We evaluate our approach experimentally using a real QoS dataset and it shows a significant impact in reducing the computing time.