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dc.contributor.advisorIslam, Syed Saiful
dc.contributor.authorShikder, Shyen Muhabbat
dc.contributor.authorUddin, Mahtab
dc.date.accessioned2010-09-22T04:54:21Z
dc.date.available2010-09-22T04:54:21Z
dc.date.copyright2008
dc.date.issued2008-08
dc.identifier.otherID 04101008
dc.identifier.otherID 04101002
dc.identifier.urihttp://hdl.handle.net/10361/177
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2008.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 73).
dc.description.abstractGrid computing is designed to use free cycles of computer to perform large calculations by using free cycles of computer. Grid computing does not need dedicated computers to perform calculations instead it uses free cycles of computer in a network. It works like a virtual super computer, but it doesn’t involve extra hardware cost. As, it’s a cost effective its popularity is increasing day by day. Now a day’s popular applications are being made to support grid computing. For example Oracle database 10g is designed to support grid computing. Although grid computing is so popular, but implementing software for grid based system is tough. It needs task distribution among computers. So it uses different programming techniques and needs to use special API. The software we are currently using may not support grid environment. Software companies need to convert their programs to support grid environment that involves development cost. On other hand users are not able to use their current software in grid environment. So, they need to buy another program that involves extra cost. The objective of this project is to run traditional programs in grid system without any modification, so that we can run any executable program in grid system with parallel speeding performance. It will increase program compatibility and reduce cost.en_US
dc.description.statementofresponsibilityShyen Muhabbat Shikder
dc.format.extent86 pages
dc.language.isoen
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectComputer science and engineering
dc.titleOptimize task distribution in grid computingen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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