dc.contributor.advisor | Aburukba, Raafat | |
dc.contributor.advisor | Landolsi, Taha | |
dc.contributor.author | Fahmy, Ahmed | |
dc.date.accessioned | 2020-03-03T09:11:53Z | |
dc.date.available | 2020-03-03T09:11:53Z | |
dc.date.issued | 2020-02 | |
dc.identifier.other | 35.232-2020.02 | |
dc.identifier.uri | http://hdl.handle.net/11073/16647 | |
dc.description | A 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.sponsorship | College of Engineering | en_US |
dc.description.sponsorship | Department of Computer Science and Engineering | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | Master of Science in Computer Engineering (MSCoE) | en_US |
dc.subject | Fog Computing | en_US |
dc.subject | IoT | en_US |
dc.subject | 5G networks | en_US |
dc.subject | Agent | en_US |
dc.subject | Auction | en_US |
dc.subject | Scheduling | en_US |
dc.subject | Optimization | en_US |
dc.subject | Game Theory | en_US |
dc.subject | Decentralized | en_US |
dc.title | An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure | en_US |
dc.type | Thesis | en_US |