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Analysis on cascading reliability of edge-assisted Internet of Things

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  • Fu, Xiuwen
  • Wang, Ye
  • Yang, Yongsheng
  • Postolache, Octavian

Abstract

Cascading failure is one of the key issues affecting the reliability of edge-assisted Internet of Things (IoTs), but is rarely studied. In this paper, a cascading model is developed with full consideration of the realistic characteristics of edge-assisted IoTs (i.e., congestion sensitivity and data convergence). In this model, the load of edge-computing nodes is represented by the real-time number of data packets, and is affected by the congestion state of links and the data-compressing ability of nodes. The experimental results have shown that being isolated is the main cause of performance degradation in edge-assisted IoTs during cascading failure; cascading reliability is positively correlated with link density and cluster head ratio; increasing the overload-tolerance coefficient and variable compression ratio can improve the cascading reliability of the network; decreasing the congestion-tolerance coefficient can reduce the damage of the cascading failure to the network; cascading failure triggered by high-directional betweenness attacks is the most damaging.

Suggested Citation

  • Fu, Xiuwen & Wang, Ye & Yang, Yongsheng & Postolache, Octavian, 2022. "Analysis on cascading reliability of edge-assisted Internet of Things," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:reensy:v:223:y:2022:i:c:s0951832022001272
    DOI: 10.1016/j.ress.2022.108463
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