Evaluation of system resilience : a numerical approach
Scale-free network are very apparent in our daily lives. The Internet and many other networks are closely related to scale-free network. Scale-free network modelling can be very useful to simulate real life networks. Due to this similarity, simulation of scale-free network can translate to real life...
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sg-ntu-dr.10356-754302023-07-07T17:04:48Z Evaluation of system resilience : a numerical approach Chan, Guo Jun Xiao Gaoxi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering Scale-free network are very apparent in our daily lives. The Internet and many other networks are closely related to scale-free network. Scale-free network modelling can be very useful to simulate real life networks. Due to this similarity, simulation of scale-free network can translate to real life results. Predictive model behavior and even theories can be put to the test through scale-free network simulation. In this paper, we will explore the construction of a scale-free network using Matlab and the robustness of a scale-free network. Robustness of a scale-free network will be tested with intentional attacks and random attacks. Improvements to the resilience of a scale-free network are also implemented. Random repair and random 2-hop repair methods are attempts to improve the robustness of the network under attack. Bachelor of Engineering 2018-05-31T05:31:06Z 2018-05-31T05:31:06Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75430 en Nanyang Technological University 30 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering Chan, Guo Jun Evaluation of system resilience : a numerical approach |
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Scale-free network are very apparent in our daily lives. The Internet and many other networks are closely related to scale-free network. Scale-free network modelling can be very useful to simulate real life networks. Due to this similarity, simulation of scale-free network can translate to real life results. Predictive model behavior and even theories can be put to the test through scale-free network simulation. In this paper, we will explore the construction of a scale-free network using Matlab and the robustness of a scale-free network. Robustness of a scale-free network will be tested with intentional attacks and random attacks. Improvements to the resilience of a scale-free network are also implemented. Random repair and random 2-hop repair methods are attempts to improve the robustness of the network under attack. |
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Xiao Gaoxi |
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Xiao Gaoxi Chan, Guo Jun |
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Final Year Project |
author |
Chan, Guo Jun |
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Chan, Guo Jun |
title |
Evaluation of system resilience : a numerical approach |
title_short |
Evaluation of system resilience : a numerical approach |
title_full |
Evaluation of system resilience : a numerical approach |
title_fullStr |
Evaluation of system resilience : a numerical approach |
title_full_unstemmed |
Evaluation of system resilience : a numerical approach |
title_sort |
evaluation of system resilience : a numerical approach |
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2018 |
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http://hdl.handle.net/10356/75430 |
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1772825703725662208 |