A reputation-based grid information service Abawajy, Jemal and Goscinski, Andrzej 2006, A reputation-based grid information service, Lecture notes in computer science, vol. 3994, no. Part IV, pp. 1015-1022. Attached Files Name Description MIMEType Size Downloads Title A reputation-based grid information service Author(s) Abawajy, Jemal orcid.org/0000-0001-8962-1222 Goscinski, Andrzej Journal name Lecture notes in computer science Volume number 3994 Issue number Part IV Start page 1015 End page 1022 Publisher Springer B.V. Place of publication Berlin, Germany Publication date 2006 ISSN 1611-3349 0302-9743 Summary In a large-scale wide-area system such as the Grid, trust is a prime concern. The current generation of grid information services lack the ability to determine how trustworthy a particular grid service provider or grid customer is likely to be. In this paper, we propose a grid information service with reputation management facility and its underlying algorithm for computing and managing reputation in service-oriented grid computing. Our reputation management service is based on the concept of dynamic trust and reputation adaptation based on community experiences. The working model and functionality offered by the proposed reputation management service is discussed. Language eng Field of Research 080608 Information Systems Development Methodologies HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2006, Springer-Verlag Persistent URL http://hdl.handle.net/10536/DRO/DU:30003751 Document type: Journal Article Collection: School of Engineering and Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sat, 07 Apr 2018, 07:33:16 EST Wed, 21 Oct 2015, 16:25:05 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 9 times in Scopus Search Google Scholar Access Statistics: 625 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:02:07 EST

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