DMBench: Load Testing and Benchmarking Tool for Data Migration

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dc.contributor.advisorFokaefs, Marios
dc.contributor.authorHamouda, Fares
dc.date.accessioned2024-11-07T11:12:51Z
dc.date.available2024-11-07T11:12:51Z
dc.date.copyright2024-08-19
dc.date.issued2024-11-07
dc.date.updated2024-11-07T11:12:51Z
dc.degree.disciplineElectrical and Computer Engineering
dc.degree.levelMaster's
dc.degree.nameMASc - Master of Applied Science
dc.description.abstractData migration involves transferring data between systems, whether homogeneous or heterogeneous, and potentially reformatting it. With large volumes of data, resource constraints, and diverse data models and formats, migration can be critical for enterprises due to time consumption, high costs, and significant risks if not done correctly. Accurate prediction and planning for these challenges are essential for effective migration. This work introduces load testing and benchmarking for data migration to enhance decision-making efficiency and effectiveness. Our framework emphasizes extensibility and customizability for a broader range of tests. We present a prototype architecture, a development roadmap, and a case study demonstrating practical use.
dc.identifier.urihttps://hdl.handle.net/10315/42477
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectInformation technology
dc.subjectComputer science
dc.subjectComputer engineering
dc.subject.keywordsData migration
dc.subject.keywordsBig data
dc.subject.keywordsBenchmarking
dc.subject.keywordsLoad testing
dc.subject.keywordsSoftware performance
dc.subject.keywordsData integrity
dc.subject.keywordsData transfer
dc.titleDMBench: Load Testing and Benchmarking Tool for Data Migration
dc.typeElectronic Thesis or Dissertation

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