Ant-inspired multi-phase and multi-party negotiations in the data-intensive service provision

Wang, L; Shen, J; Zhou, Q; Beydoun, G

Ant-inspired multi-phase and multi-party negotiations in the data-intensive service provision

Wang, L Shen, J

Zhou, Q Beydoun, G

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014, 2014, pp. 211 - 218
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Wang, L	en_US
dc.contributor.author	Shen, J https://orcid.org/0000-0002-9403-7140	en_US
dc.contributor.author	Zhou, Q	en_US
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014, 2014, pp. 211 - 218	en_US
dc.identifier.isbn	9781479950669	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121407
dc.description.abstract	© 2014 IEEE. The rapid proliferation of enormous sources of digital data and the development of cloud computing have led to greater dependence on data-intensive services. Each service may actually request or create a large amount of data sets. To compose these services will be more challenging. Issues of autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of reaching an agreement in data-intensive service provision, the ant-inspired negotiation mechanism is considered in this paper. There are two-stage negotiation procedures in our model, which will provide effective and efficient service selection for service composers. We also present a multi-phase, multi-party negotiation protocol, where the ant colony system is applied for selecting the services. The experimental results show that our ant-inspired negotiation approach can facilitate the data-intensive service provision.	en_US
dc.relation.ispartof	Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014	en_US
dc.relation.isbasedon	10.1109/SCC.2014.36	en_US
dc.title	Ant-inspired multi-phase and multi-party negotiations in the data-intensive service provision	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	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 Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. The rapid proliferation of enormous sources of digital data and the development of cloud computing have led to greater dependence on data-intensive services. Each service may actually request or create a large amount of data sets. To compose these services will be more challenging. Issues of autonomy, scalability, adaptability, and robustness, become difficult to resolve. In order to automate the process of reaching an agreement in data-intensive service provision, the ant-inspired negotiation mechanism is considered in this paper. There are two-stage negotiation procedures in our model, which will provide effective and efficient service selection for service composers. We also present a multi-phase, multi-party negotiation protocol, where the ant colony system is applied for selecting the services. The experimental results show that our ant-inspired negotiation approach can facilitate the data-intensive service provision.

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http://hdl.handle.net/10453/121407