Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/312053
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dc.date.accessioned2021-01-18T11:39:45Z-
dc.date.available2021-01-18T11:39:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/312053-
dc.description.abstractA distributed system comprises of several software and hardware components that newlineforms a network of systems for communicating and coordinating the actions. In other newlinewords, a distributed computation constitutes a group of processes that cooperate to newlineachieve a common goal. The systems are distributed across a huge geographical region newlineand communicate with each other for executing the tasks. The different types of newlinedistributed systems include Distributed Computing Systems, Distributed Information newlineSystems and Distributed Pervasive Systems. However, the Distributed Computing newlineSystems exist in multiple forms such as Cluster Computing and Grid Computing newlineSystems. The grid computing form of distributed systems raises several challenges as they newlinecover increasingly large networks. Moreover, the assemblage of distributed, newlineheterogeneous resources form what is called as Computational Grids and emerges as a newlinechallenging field in the area of distributed system. In addition, as the resources are newlineheterogeneous in nature, they eventually become slow and unreliable. This addresses the newlineproblems of resource sharing, scalability, etc. Hence, studying the performance measures newlineof such a huge network becomes utmost important. newlineBesides this, after a thorough review of the existing literature related to grid newlinecomputing and allied research, it is observed that the existing approaches suffer from newlineseveral shortcomings such as the reliability of the network which gets accentuated when newlinenumber of nodes increases, the resource allocation of both software and hardware, newlinescheduling and synchronizing to comply within a stipulated time and budget and the newlinesustenance of bandwidth, etc. The research made in this thesis aimed to study and newlineidentify the gray areas of Computational Grid networks that can address the above newlinevii newlinementioned problems. Hence, the objective is to analyse the system network through newlinedifferent optimization techniques and to design its application in Computational Grid to newlineenhance the efficiency of accomplis
dc.format.extent168 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleSome Performance Studies of Distributed Systems
dc.title.alternative
dc.creator.researcherDas, Debashreet
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Hardware and Architecture
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideTripathy, C.R.
dc.publisher.placeSambalpur
dc.publisher.universityVeer Surendra Sai University of Technology
dc.publisher.institutionDepartment of Computer Science and Engineering and IT
dc.date.registered
dc.date.completed2020
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering and IT

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01_title.pdfAttached File160.79 kBAdobe PDFView/Open
02_certificates.pdf221.08 kBAdobe PDFView/Open
03_declaration acknoledgement.pdf91.35 kBAdobe PDFView/Open
04_contents.pdf94.54 kBAdobe PDFView/Open
05_preface.pdf248.01 kBAdobe PDFView/Open
06_list of tables figures.pdf95.17 kBAdobe PDFView/Open
07_chapter-1.pdf642.4 kBAdobe PDFView/Open
08_chapter-2.pdf240.04 kBAdobe PDFView/Open
09_chapter-3.pdf989.31 kBAdobe PDFView/Open
10_chapter-4.pdf816.49 kBAdobe PDFView/Open
11_chapter-5.pdf1.13 MBAdobe PDFView/Open
12_chapter-6.pdf616.86 kBAdobe PDFView/Open
13_chapter-7.pdf99.68 kBAdobe PDFView/Open
14_references.pdf461.14 kBAdobe PDFView/Open
80_recommendation.pdf259.05 kBAdobe PDFView/Open


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