Diagnosability of star graphs with missing edges
Information Sciences: an International Journal
Theoretical Computer Science
Conditional diagnosability of balanced hypercubes under the PMC model
Information Sciences: an International Journal
Conditional diagnosability of matching composition networks under the MM* model
Information Sciences: an International Journal
Wide-diameter of Product Graphs
Fundamenta Informaticae
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Strong diagnosability is a more precise concept for measuring the reliability of multiprocessor systems than the traditional global measurement. In this paper, we study the strong diagnosability of multiprocessor systems under the PMC model. Our main objective is to determinate the strong diagnosability of two wide classes of networks, namely regular networks and product networks, subject to certain conditions. Based on our results, we demonstrate the strong diagnosability of several well-known networks, including variants of hypercubes and many others.