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An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure

Fahmy, Ahmed
Date
2020-02
Authors
Fahmy, Ahmed
Advisor
Aburukba, Raafat
Landolsi, Taha
Type
Thesis
Degree
Citations
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35.232-2020.02a Ahmed Fahmy.pdf
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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).
Abstract
DSpace URI
http://hdl.handle.net/11073/16647
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Masters Theses
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