dc.contributor.author | Son, Hee Jin | |
dc.date.accessioned | 2014-04-15T18:33:15Z | |
dc.date.available | 2014-04-15T18:33:15Z | |
dc.date.issued | 2007-05-01 | |
dc.identifier.uri | https://hdl.handle.net/11244/8249 | |
dc.description.abstract | This 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. | |
dc.format | application/pdf | |
dc.language | en_US | |
dc.publisher | Oklahoma State University | |
dc.rights | Copyright 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.title | Parmi: a Publish/Subscribe Based Asynchronous Rmi Framework | |
dc.type | text | |
osu.filename | Son_okstate_0664M_2224.pdf | |
osu.college | Arts and Sciences | |
osu.accesstype | Open Access | |
dc.description.department | Computer Science Department | |
dc.type.genre | Thesis | |
dc.subject.keywords | grid computing | |
dc.subject.keywords | parallel and distributed computing | |
dc.subject.keywords | asynchronous communication | |
dc.subject.keywords | supercomputing | |
dc.subject.keywords | cluster computing | |