Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures
I-Cheng Lin, Carlee Joe-Wong, Osman Yagan

TL;DR
This paper introduces a dynamic coupling strategy that adjusts inter-network flow redistribution coefficients in real-time to significantly improve robustness against cascading failures in interdependent network systems.
Contribution
It proposes a novel Step-wise Optimization (SWO) method that dynamically tunes coupling coefficients, enhancing robustness and scalability over fixed-coupling approaches.
Findings
SWO significantly reduces cascading failures in simulations.
The method outperforms fixed coupling strategies in robustness.
SWO is computationally efficient and adaptable to various network topologies.
Abstract
Cascading failures are a common phenomenon in complex networked systems where failures at only a few nodes may trigger a process of sequential failure. We applied a flow redistribution model to investigate the robustness against cascading failures in modern systems carrying flows/loads (i.e. power grid, transportation system, etc.) that contain multiple interdependent networks. In such a system, the coupling coefficients between networks, which determine how much flows/loads are redistributed between networks, are a key factor determining the robustness to cascading failures. We derive recursive expressions to characterize the evolution of such a system under dynamic network coupling. Using these expressions, we enhance the robustness of interdependent network systems by dynamically adjusting the coupling coefficients based on current system situations, minimizing the subsequent…
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Taxonomy
TopicsComplex Network Analysis Techniques · Software-Defined Networks and 5G · Network Security and Intrusion Detection
