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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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Abdalgawad, Nada Mohamed (author)
التنسيق: doctoralThesis
منشور في: 2024
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/11073/25619
الوسوم: إضافة وسم
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author Abdalgawad, Nada Mohamed
author_facet Abdalgawad, Nada Mohamed
author_role author
dc.contributor.none.fl_str_mv Aburukba, Raafat
Sagahyroon, Assim
dc.creator.none.fl_str_mv Abdalgawad, Nada Mohamed
dc.date.none.fl_str_mv 2024-09-25T06:03:06Z
2024-09-25T06:03:06Z
2024-06
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2024.27
https://hdl.handle.net/11073/25619
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Field programmable gate arrays
Resource allocation
Cloud computing
Optimization model
Simulated Annealing
dc.title.none.fl_str_mv Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description 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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network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/25619
publishDate 2024
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spelling Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource AllocationAbdalgawad, Nada MohamedField programmable gate arraysResource allocationCloud computingOptimization modelSimulated AnnealingA 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).College of EngineeringDepartment of Computer Science and EngineeringMaster of Science in Computer Engineering (MSCoE)Aburukba, RaafatSagahyroon, Assim2024-09-25T06:03:06Z2024-09-25T06:03:06Z2024-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2024.27https://hdl.handle.net/11073/25619en_USoai:repository.aus.edu:11073/256192025-06-26T12:24:09Z
spellingShingle Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation
Abdalgawad, Nada Mohamed
Field programmable gate arrays
Resource allocation
Cloud computing
Optimization model
Simulated Annealing
status_str publishedVersion
title Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation
title_full Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation
title_fullStr Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation
title_full_unstemmed Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation
title_short Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation
title_sort Optimizing Field Programmable Gate Array Resources in The Cloud Computing Infrastructure: Partitioning and Resource Allocation
topic Field programmable gate arrays
Resource allocation
Cloud computing
Optimization model
Simulated Annealing
url https://hdl.handle.net/11073/25619