Selecting top-k composite web services using preference-aware dominance relationship

Zhang, S; Dou, W; Chen, J

Selecting top-k composite web services using preference-aware dominance relationship

Zhang, S Dou, W Chen, J

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE 20th International Conference on Web Services, ICWS 2013, 2013, pp. 75 - 82
Issue Date:: 2013-01-01

Closed Access

	Filename	Description	Size
	2013004431OK.pdf		300.6 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, S	en_US
dc.contributor.author	Dou, W	en_US
dc.contributor.author	Chen, J	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	Proceedings - IEEE 20th International Conference on Web Services, ICWS 2013, 2013, pp. 75 - 82	en_US
dc.identifier.uri	http://hdl.handle.net/10453/28374
dc.description.abstract	Web service composition lets users create value-added composite Web services on existent services, where top-k composite services are helpful for users to find a satisfying composite service efficiently. However, with an increasing number of Web services and users' various composition preferences, computing top-k composite services dynamically for different users is difficult. In view of this challenge, a top-k composite services selection method is proposed, based on a preference-aware service dominance relationship. Concretely speaking, firstly, user preferences are modeled with the preference-aware service dominance, and then, in local service selection, a multi-index based algorithm is proposed, named Multi-Index, for computing candidate services of each task dynamically. Then, in global optimization, combined with a service lattice, top-k composite services are selected under a dominant number-aware service ranking. At last, an experiment is presented to verify our method. © 2013 IEEE.	en_US
dc.relation.ispartof	Proceedings - IEEE 20th International Conference on Web Services, ICWS 2013	en_US
dc.relation.isbasedon	10.1109/ICWS.2013.20	en_US
dc.title	Selecting top-k composite web services using preference-aware dominance relationship	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Santa Clara, USA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Web service composition lets users create value-added composite Web services on existent services, where top-k composite services are helpful for users to find a satisfying composite service efficiently. However, with an increasing number of Web services and users' various composition preferences, computing top-k composite services dynamically for different users is difficult. In view of this challenge, a top-k composite services selection method is proposed, based on a preference-aware service dominance relationship. Concretely speaking, firstly, user preferences are modeled with the preference-aware service dominance, and then, in local service selection, a multi-index based algorithm is proposed, named Multi-Index, for computing candidate services of each task dynamically. Then, in global optimization, combined with a service lattice, top-k composite services are selected under a dominant number-aware service ranking. At last, an experiment is presented to verify our method. © 2013 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/28374