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dc.contributor.authorLi, M-
dc.contributor.authorYu, B-
dc.contributor.authorRana, O-
dc.contributor.authorWang, Z-
dc.identifier.citationIEEE Transactions on Knowledge and Data Engineering. 20(6) 851-862en
dc.descriptionCopyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.-
dc.description.abstractThe computational grid is evolving as a service-oriented computing infrastructure that facilitates resource sharing and large-scale problem solving over the Internet. Service discovery becomes an issue of vital importance in utilising grid facilities. This paper presents ROSSE, a Rough sets based search engine for grid service discovery. Building on Rough sets theory, ROSSE is novel in its capability to deal with uncertainty of properties when matching services. In this way, ROSSE can discover the services that are most relevant to a service query from a functional point of view. Since functionally matched services may have distinct non-functional properties related to Quality of Service (QoS), ROSSE introduces a QoS model to further filter matched services with their QoS values to maximise user satisfaction in service discovery. ROSSE is evaluated in terms of its accuracy and efficiency in discovery of computing services.en
dc.format.extent341918 bytes-
dc.subjectGrid computingen
dc.subjectSemantic Weben
dc.subjectgrid service discoveryen
dc.subjectQoS modelingen
dc.subjectRough setsen
dc.subjectsearch engineen
dc.titleGrid service discovery with rough setsen
dc.typeResearch Paperen
Appears in Collections:Electronic and Computer Engineering
Computer Science
Dept of Computer Science Research Papers

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