Optimizing task offloading and resource allocation in a multi-layer fog computing network
This research studies the current solutions present to develop a joint offloading and resource allocation framework for a multi-later fog-computing network. Specifically, this research studies the problem defined, and solutions presented in the paper titled “Optimal Energy Efficiency with Delay Cons...
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التنسيق: | Final Year Project |
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Nanyang Technological University
2023
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الوصول للمادة أونلاين: | https://hdl.handle.net/10356/166759 |
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sg-ntu-dr.10356-1667592023-05-12T15:36:46Z Optimizing task offloading and resource allocation in a multi-layer fog computing network Bairi, Sahitya Arvind Easwaran School of Computer Science and Engineering arvinde@ntu.edu.sg Engineering::Computer science and engineering This research studies the current solutions present to develop a joint offloading and resource allocation framework for a multi-later fog-computing network. Specifically, this research studies the problem defined, and solutions presented in the paper titled “Optimal Energy Efficiency with Delay Constraints for Multi-Layer Cooperative Fog Computing Network”. The Project gives an implementation of the Feasibility Finding Benders Decomposition (FFBD) algorithm presented in the paper and compares it with the default Gurobi MIP solver for solving the same problem. CloudSim is also explored to visualize the offloading and resource allocation results of the Problem in a Cloud Environment. Bachelor of Business Bachelor of Engineering (Computer Science) 2023-05-12T07:17:38Z 2023-05-12T07:17:38Z 2023 Final Year Project (FYP) Bairi, S. (2023). Optimizing task offloading and resource allocation in a multi-layer fog computing network. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166759 https://hdl.handle.net/10356/166759 en SCSE22-0560 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Bairi, Sahitya Optimizing task offloading and resource allocation in a multi-layer fog computing network |
description |
This research studies the current solutions present to develop a joint offloading and resource allocation framework for a multi-later fog-computing network. Specifically, this research studies the problem defined, and solutions presented in the paper titled “Optimal Energy Efficiency with Delay Constraints for Multi-Layer Cooperative Fog Computing Network”. The Project gives an implementation of the Feasibility Finding Benders Decomposition (FFBD) algorithm presented in the paper and compares it with the default Gurobi MIP solver for solving the same problem. CloudSim is also explored to visualize the offloading and resource allocation results of the Problem in a Cloud Environment. |
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Arvind Easwaran |
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Arvind Easwaran Bairi, Sahitya |
format |
Final Year Project |
author |
Bairi, Sahitya |
author_sort |
Bairi, Sahitya |
title |
Optimizing task offloading and resource allocation in a multi-layer fog computing network |
title_short |
Optimizing task offloading and resource allocation in a multi-layer fog computing network |
title_full |
Optimizing task offloading and resource allocation in a multi-layer fog computing network |
title_fullStr |
Optimizing task offloading and resource allocation in a multi-layer fog computing network |
title_full_unstemmed |
Optimizing task offloading and resource allocation in a multi-layer fog computing network |
title_sort |
optimizing task offloading and resource allocation in a multi-layer fog computing network |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/166759 |
_version_ |
1770563584718274560 |