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dc.contributor.advisorAburukba, Raafat
dc.contributor.advisorLandolsi, Taha
dc.contributor.authorFahmy, Ahmed
dc.date.accessioned2020-03-03T09:11:53Z
dc.date.available2020-03-03T09:11:53Z
dc.date.issued2020-02
dc.identifier.other35.232-2020.02
dc.identifier.urihttp://hdl.handle.net/11073/16647
dc.descriptionA Master of Science thesis in Computer Engineering by Ahmed Fahmy entitled, “An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure”, submitted in February 2020. Thesis advisor is Dr. Raafat Aburukba and thesis co-advisor is Dr. Taha Landolsi. Soft copy is available (Thesis, Approval Signatures, Completion Certificate, and AUS Archives Consent Form).en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipDepartment of Computer Science and Engineeringen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesAmerican University of Sharjah Student Worken_US
dc.relation.ispartofseriesMaster of Science in Computer Engineering (MSCoE)en_US
dc.subjectFog Computingen_US
dc.subjectIoTen_US
dc.subject5G networksen_US
dc.subjectAgenten_US
dc.subjectAuctionen_US
dc.subjectSchedulingen_US
dc.subjectOptimizationen_US
dc.subjectGame Theoryen_US
dc.subjectDecentralizeden_US
dc.titleAn Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructureen_US
dc.typeThesisen_US


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