Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation

Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation

A Master of Science thesis in Computer Engineering by Nada Mohamed Abdalgawad entitled, “Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation”, submitted in June 2024. Thesis advisor is Dr. Raafat Aburukba and thesis co-adviso...

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Bibliographic Details
Main Author: Abdalgawad, Nada Mohamed (author)
Format: doctoralThesis
Published: 2024
Subjects:
Field programmable gate arrays
Resource allocation
Cloud computing
Optimization model
Simulated Annealing
Online Access:https://hdl.handle.net/11073/25619
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Summary:A Master of Science thesis in Computer Engineering by Nada Mohamed Abdalgawad entitled, “Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation”, submitted in June 2024. Thesis advisor is Dr. Raafat Aburukba and thesis co-advisor is Dr. Assim Sagahyroon. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).

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