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dc.contributor.authorLee, Ming-Changen_US
dc.contributor.authorLeu, Fang-Yieen_US
dc.contributor.authorChen, Ying-pingen_US
dc.date.accessioned2017-04-21T06:49:56Z-
dc.date.available2017-04-21T06:49:56Z-
dc.date.issued2014en_US
dc.identifier.isbn978-1-4799-6387-4en_US
dc.identifier.urihttp://dx.doi.org/10.1109/INCoS.2014.83en_US
dc.identifier.urihttp://hdl.handle.net/11536/136146-
dc.description.abstractData grids often integrate many geographically dispersed storage and computational resources to provide users with an environment in which scientists and scientific researchers can execute their large-scale applications and store their data collected from other databases or produced by their experiments. To efficiently transfer a huge volume of data shared by users among the clusters or nodes in data grids, several co-allocation schemes have been proposed to shorten the data delivery. In this paper, we develop a performance-analysis model, named the Response Time Evaluation Model (RTEM for short), over a topology reduced from a tree to a star to evaluate data grid co-allocation schemes from multi-user perspective.en_US
dc.language.isoen_USen_US
dc.subjectdata griden_US
dc.subjectco-allocation schemeen_US
dc.subjectresponse timeen_US
dc.subjectmulti-user perspectiveen_US
dc.titleDeveloping a Performance-analysis Model for a Star-Topology Data Grid from Multi-User Perspectiveen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/INCoS.2014.83en_US
dc.identifier.journal2014 INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS)en_US
dc.citation.spage242en_US
dc.citation.epage248en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000380454200035en_US
dc.citation.woscount1en_US
Appears in Collections:Conferences Paper