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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Main Author: Bairi, Sahitya
Other Authors: Arvind Easwaran
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166759
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle 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.
author2 Arvind Easwaran
author_facet 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
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