Analysis on cascading reliability of edge-assisted Internet of Things. (July 2022)

• Record Type: Journal Article
• Authors: Fu, Xiuwen; Wang, Ye; Yang, Yongsheng; Postolache, Octavian
• Is Part Of: Reliability engineering & system safety. Volume 223(2022)
• Publication Date: 2022-07
• Subjects: Cascading failure -- Edge-assisted Internet of Things -- Congestion sensitivity -- Data convergence -- Cascading reliability; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2022.108463
• Languages: English
• ISSNs: 0951-8320

Abstract

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. Highlights: Develop a practical cascading model for edge-assisted IoTs. Reveal the impacts of model parameters on the cascading reliability. Evaluate the cascading reliability under different types of attacks.