A cost-effective planning graph approach for large-scale web service composition

Mathematical Problems in Engineering

Volumn 2012, Issue , 2012, Pages

  Lin, Szu Yin ^a   Lin, Guan Ting ^a   Chao, Kuo Ming ^b   Lo, Chi Chun ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b Faculty of Health and Life Sciences   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE SOLUTION; BACKWARD PLANNING; COMPOSITE SERVICES; FEASIBLE SOLUTION; OUTPUT PARAMETERS; PLANNING GRAPHS; SEARCH ALGORITHMS; SERVICE COMPOSITIONS; SERVICE COSTS; SERVICE MATCHING; SIMULATION PLATFORM; WEB SERVICE COMPOSITION; WEB SERVICES ENVIRONMENT;

ALGORITHMS; COST EFFECTIVENESS; QUALITY OF SERVICE; WEB SERVICES;

WEBSITES;

EID: 84861059492     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2012/783476     Document Type: Article

References (15)

1. Haas H., Brown A., Web Services Glossary. http://www.w3.org/TR/ws-gloss/
2. Booth D., Haas H., McCabe F., Web Services Architecture. http://www.w3.org/TR/ws-arch/
3. Kuzu M., Cicekli N. K., Dynamic planning approach to automated web service composition Applied Intelligence 2010 36 1 1 28
4. Wang S., Shen W., Hao Q., Agent based workflow ontology for dynamic business process composition Proceedings of the 9th International Conference on Computer Supported Cooperative Work in Design (CSCWD '05) 2005 Coventry, UK 452 457
5. Qiu L., Chang L., Lin F., Shi Z., Context optimization of AI planning for semantic Web services composition Service Oriented Computing and Applications 2007 1 2 117 128 (Pubitemid 46870984)
6. Alves A., Arkin A., Askary S., Web Services Business Process Execution Language Version 2.0. OASIS WSBPEL TC, 2007
7. Zheng X., Yan Y., An efficient syntactic web service composition algorithm based on the planning graph model Proceedings of the IEEE International Conference on Web Services (ICWS '08) September 2008 691 699
8. Yan Y., Zheng X., A planning graph based algorithm for semantic web service composition Proceedings of the IEEE Joint Conference on E-Commerce Technology (CEC '08) and Enterprise Computing, E-Commerce and E-Services (EEE '08) July 2008 339 342
9. Peer J., Web Service Composition as AI Planninga Survey 2005 St. Gallen, Switzerland University of St.Gallen
10. Blum A. L., Furst M. L., Fast planning through planning graph analysis Artificial Intelligence 1997 90 1-2 281 300 (Pubitemid 127398372)
11. Kambhampati S., Do M. B., Planning as constraint satisfaction: Solving the planning graph by compiling it into CSP Artificial Intelligence 2001 132 2 151 182 (Pubitemid 32951239)
12. Russell S., Norvig P., Artificial Intelligence: A Modern Approach 2009 Upper Saddle River, NJ, USA Prentice Hall Press
13. Dimopoulos Y., Nebel B., Koehler J., Encoding planning problems in nonmonotonic logic programs Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning (ECP '97) 1997 Toulouse, France 169 181
14. Oh S. C., Lee D., WSBen: A web services discovery and composition benchmark toolkit International Journal of Web Services Research 2009 6 1 1 19
15. Wang X. F., Chen G., Complex networks: Small-world, scale-free and beyond IEEE Circuits and Systems Magazine 2003 3 1 6 20