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dc.contributor.authorSon, Hee Jin
dc.date.accessioned2014-04-15T18:33:15Z
dc.date.available2014-04-15T18:33:15Z
dc.date.issued2007-05-01
dc.identifier.urihttps://hdl.handle.net/11244/8249
dc.description.abstractThis thesis aims to design a publish/subscribe-based asynchronous RMI (Remote Method Invocation) Framework (PARMI) residing on different machines over a network. The objectives of this thesis are: (1) explore the existing RMI model and analyze the performance of an existing RMI implementation; (2) study the related programming models for designing asynchronous RMI structure; (3) design a new PARMI framework based on publish/subscribe paradigm, realizing asynchronous communication and computation and decoupling objects in space and time; (4) evaluate the performance of the PARMI framework on the local/remote and homogeneous/heterogeneous environments. An example scientific application based on the Jacobi iteration numerical method is developed. Extensive experimental evaluation on up to 64 processors demonstrates the performance improvement using the PARMI framework.
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dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleParmi: a Publish/Subscribe Based Asynchronous Rmi Framework
dc.typetext
osu.filenameSon_okstate_0664M_2224.pdf
osu.collegeArts and Sciences
osu.accesstypeOpen Access
dc.description.departmentComputer Science Department
dc.type.genreThesis
dc.subject.keywordsgrid computing
dc.subject.keywordsparallel and distributed computing
dc.subject.keywordsasynchronous communication
dc.subject.keywordssupercomputing
dc.subject.keywordscluster computing


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