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Proactive robustness control of heterogeneously loaded networks.
Mirko Schäfer1, Jan Scholz, Martin Greiner
1Institut für Theoretische Physik, Justus Liebig Universität, Heinrich-Buff-Ring 16, D-35392 Gieben, Germany. mirko.schaefer@theo.physik.uni-giessen.de
This study proposes load-dependent weights to enhance network robustness against failures. This method promotes a more homogeneous load distribution, improving network resilience and reducing capacity costs.
Area of Science:
- Network Engineering
- Systems Resilience
- Infrastructure Robustness
Background:
- Heterogeneously loaded networks are vulnerable to cascade failures.
- Overload failures pose significant risks to critical infrastructures.
Purpose of the Study:
- To propose a proactive measure to enhance network robustness.
- To mitigate cascade failures in heterogeneously loaded networks.
Main Methods:
- Implementing load-dependent weights.
- Utilizing respective shortest flow paths.
- Analyzing load distribution changes.
Main Results:
- Achieved a more homogeneous load distribution for nodes and links.
- Increased network robustness against overload failures.
- Reduced investment costs for network capacity.
Conclusions:
- Load-dependent weights offer a proactive solution for network resilience.
- The findings are applicable to communication and transportation networks.
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