An optimal and complete algorithm for automatic web service composition

International Journal of Web Services Research

Volumn 9, Issue 2, 2012, Pages 1-20

  Rodriguez Mier, Pablo ^a   Mucientes, Manuel ^a   Vidal, Juan C ^a   Lama, Manuel ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

A* Algorithm (A Star Algorithm); Dependency Graph; Semantic Input Output Matching; Web Service Composition; Web Services

Indexed keywords

A-STAR ALGORITHM; COMPOSITION PROBLEM; CONTROL STRUCTURE; DEPENDENCY GRAPHS; DYNAMIC OPTIMIZATION; HEURISTIC SEARCH; INPUT-OUTPUT; MESSAGE STRUCTURES; NON-TRIVIAL; NUMBER OF SERVICES; OPTIMAL COMBINATION; OPTIMAL SOLUTIONS; SERVICE DEPENDENCY; SUBOPTIMAL SOLUTION; TIME RESTRICTION; WEB SERVICE COMPOSITION;

HEURISTIC ALGORITHMS; OPTIMIZATION; QUALITY OF SERVICE; SEMANTICS; WEB SERVICES;

WEBSITES;

EID: 84870270168     PISSN: 15457362     EISSN: 15465004     Source Type: Journal    
DOI: 10.4018/jwsr.2012040101     Document Type: Article

References (40)

1. Aiello, M., Benthem, N., & Khoury, E. (2008, July). Visualizing compositions of services from large repositories. In Proceedings of the 10th IEEE Conference on e-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, e-Commerce and e-Services (pp. 359-362). Washington, DC: IEEE Computer Society.
2. Alonso, G., Casati, F., Kuno, F., & Machiraju, V. (2004). Web services: Concepts, architectures and applications. New York, NY: Springer.
3. Aversano, L., & Taneja, K. (2006). A genetic programming approach to support the design of service compositions. International Journal of Computer Systems Science & Engineering, 21(4), 247-254. (Pubitemid 44622916)
4. Bansal, A., Blake, M. B., Kona, S., Bleul, S., Weise, T., & Jaeger, M. C. (2008). WSC-08: Continuing the Web services challenge. In Proceedings of the 10th IEEE Conference on e-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, e-Commerce and e-Services (pp. 351-354). Washington, DC: IEEE Computer Society.
5. Burstein, M., Hobbs, J., Lassila, O., Mcdermott, D., Mcilraith, S., & Narayanan, S. Sycara, K. (2004). OWL-S: Semantic markup for Web services. Retrieved from http://www.w3.org/Submission/OWL-S
6. Christensen, E., Curbera, F., Meredith, G., & Weerawarana, S. (2001). Web Services Description Language (WSDL) 1.1. Retrieved from http://www.w3.org/TR/wsdl
7. de Bruijn, J. D., Bussler, C., Domingue, J., Fensel, D., Hepp, M., & Keller, U. (2005). Web service modeling ontology. Applied Ontology, 1(1), 76-106.
8. Georgetown University. (2005). Introducing the Web service challenge. Retrieved from http://ws-challenge.georgetown.edu/ws-challenge/TechDetails.htm
9. Georgetown University. (2008a). Challenge results. Retrieved from http://cec2008.cs.georgetown.edu/wsc08/downloads/ChallengeResults.rar
10. Georgetown University. (2008b). WSC results. Retrieved from http://cec2008.cs.georgetown.edu/wsc08/downloads/WSCResult.pdf
11. Ghafarian, T., & Kahani, M. (2009, July). Semantic web service composition based on ant colony optimization method. In Proceedings of the First International Conference on Networked Digital Technologies (pp. 171-176). Washington, DC: IEEE Computer Society.
12. Hart, P., Nilsson, N., & Raphael, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics, 4(2), 100-107. doi:10.1109/TSSC.1968.300136
13. Hashemian, S., & Mavaddat, F. (2006). A graph-based framework for composition of stateless Web services. In Proceedings of the European Conference on Web Services (pp. 75-86). Washington, DC: IEEE Computer Society. (Pubitemid 351164921)
14. Hennig, P., & Balke, W.-T. (2010, July). Highly scalable Web service composition using binary tree-based parallelization. In Proceedings of the IEEE International Conference on Web Services (pp. 123-130). Washington, DC: IEEE Computer Society.
15. Hoffmann, J., Bertoli, P., & Pistore, M. (2007). Web service composition as planning, revisited: In between background theories and initial state uncertainty. In Proceedings of the 22nd National Conference of the American Association for Artificial Intelligence (pp. 1013-1018). Palo Alto, CA: AAAI. (Pubitemid 350149702)
16. Jiang, W., Zhang, C., Huang, Z., Chen, M., Hu, S., & Liu, Z. (2010, July). QSynth: A tool for QoS-aware automatic service composition. In Proceedings of the IEEE International Conference on Web Services (pp. 42-49). Washington, DC: IEEE Computer Society.
17. Klusch, M., Gerber, A., & Schmidt, M. (2005). Semantic Web service composition planning with OWLS-Xplan. In Proceedings of the AAAI Fall Symposium on Semantic Web and Agents, Arlington, VA. Palo Alto, CA: AAAI.
18. Kona, S., Bansal, A., Blake, M. B., & Gupta, G. (2008, September). Generalized semantics-based service composition. In Proceedings of the IEEE International Conference on Web Services (pp. 219-227). Washington, DC: IEEE Computer Society.
19. Lee, D., & Kumara, S. R. T. (2005). A comparative illustration of AI planning-based Web services composition. SIGecom Exchanges, 5(5), 1-10.
20. Liang, Q., & Su, S. (2005). AND/OR graph and search algorithm for discovering composite Web services. International Journal of Web Services Research, 2(4), 48-67. doi:10.4018/jwsr.2005100103 (Pubitemid 41344357)
21. Aiello, M., Benthem, N., & Khoury, E. (2008, July). Visualizing compositions of services from large repositories. In Proceedings of the 10th IEEE Conference on e-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, e-Commerce and e-Services (pp. 359-362). Washington, DC: IEEE Computer Society.
22. Alonso, G., Casati, F., Kuno, F., & Machiraju, V. (2004). Web services: Concepts, architectures and applications. New York, NY: Springer.
23. Aversano, L., & Taneja, K. (2006). A genetic programming approach to support the design of service compositions. International Journal of Computer Systems Science & Engineering, 21(4), 247-254. (Pubitemid 44622916)
24. Bansal, A., Blake, M. B., Kona, S., Bleul, S., Weise, T., & Jaeger, M. C. (2008). WSC-08: Continuing the Web services challenge. In Proceedings of the 10th IEEE Conference on e-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, e-Commerce and e-Services (pp. 351-354). Washington, DC: IEEE Computer Society.
25. Burstein, M., Hobbs, J., Lassila, O., Mcdermott, D., Mcilraith, S., & Narayanan, S. Sycara, K. (2004). OWL-S: Semantic markup for Web services. Retrieved from http://www.w3.org/Submission/OWL-S
26. Christensen, E., Curbera, F., Meredith, G., & Weerawarana, S. (2001). Web Services Description Language (WSDL) 1.1. Retrieved from http://www.w3.org/TR/wsdl
27. de Bruijn, J. D., Bussler, C., Domingue, J., Fensel, D., Hepp, M., & Keller, U. (2005). Web service modeling ontology. Applied Ontology, 1(1), 76-106.
28. Georgetown University. (2005). Introducing the Web service challenge. Retrieved from http://ws-challenge.georgetown.edu/ws-challenge/TechDetails.htm
29. Georgetown University. (2008a). Challenge results. Retrieved from http://cec2008.cs.georgetown.edu/wsc08/downloads/ChallengeResults.rar
30. Georgetown University. (2008b). WSC results. Retrieved from http://cec2008.cs.georgetown.edu/wsc08/downloads/WSCResult.pdf
31. Ghafarian, T., & Kahani, M. (2009, July). Semantic web service composition based on ant colony optimization method. In Proceedings of the First International Conference on Networked Digital Technologies (pp. 171-176). Washington, DC: IEEE Computer Society.
32. Hart, P., Nilsson, N., & Raphael, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics, 4(2), 100-107. doi:10.1109/TSSC.1968.300136
33. Hashemian, S., & Mavaddat, F. (2006). A graph-based framework for composition of stateless Web services. In Proceedings of the European Conference on Web Services (pp. 75-86). Washington, DC: IEEE Computer Society. (Pubitemid 351164921)
34. Hennig, P., & Balke, W.-T. (2010, July). Highly scalable Web service composition using binary tree-based parallelization. In Proceedings of the IEEE International Conference on Web Services (pp. 123-130). Washington, DC: IEEE Computer Society.
35. Hoffmann, J., Bertoli, P., & Pistore, M. (2007). Web service composition as planning, revisited: In between background theories and initial state uncertainty. In Proceedings of the 22nd National Conference of the American Association for Artificial Intelligence (pp. 1013-1018). Palo Alto, CA: AAAI. (Pubitemid 350149702)
36. Jiang, W., Zhang, C., Huang, Z., Chen, M., Hu, S., & Liu, Z. (2010, July). QSynth: A tool for QoS-aware automatic service composition. In Proceedings of the IEEE International Conference on Web Services (pp. 42-49). Washington, DC: IEEE Computer Society.
37. Klusch, M., Gerber, A., & Schmidt, M. (2005). Semantic Web service composition planning with OWLS-Xplan. In Proceedings of the AAAI Fall Symposium on Semantic Web and Agents, Arlington, VA. Palo Alto, CA: AAAI.
38. Kona, S., Bansal, A., Blake, M. B., & Gupta, G. (2008, September). Generalized semantics-based service composition. In Proceedings of the IEEE International Conference on Web Services (pp. 219-227). Washington, DC: IEEE Computer Society.
39. Lee, D., & Kumara, S. R. T. (2005). A comparative illustration of AI planning-based Web services composition. SIGecom Exchanges, 5(5), 1-10.
40. Liang, Q., & Su, S. (2005). AND/OR graph and search algorithm for discovering composite Web services. International Journal of Web Services Research, 2(4), 48-67. doi:10.4018/jwsr.2005100103 (Pubitemid 41344357)