Conditional diagnosability of matching composition networks under the MM* model
Information Sciences: an International Journal
Conditional diagnosability of balanced hypercubes under the MM∗ model
The Journal of Supercomputing
Adaptive system-level diagnosis for hypercube multiprocessors using a comparison model
Information Sciences: an International Journal
| Hi-index | 14.98 |
Processor fault diagnosis plays an important role in measuring the reliability of multiprocessor systems and diagnosing many well-known interconnection networks. Conditional diagnosability is a novel measure of diagnosability that adds the additional condition that any faulty set cannot contain all of the neighbors of any vertex in a system. This study investigates some topological properties of $(k)$-ary $(n)$-cubes, where $(k \ge 4)$ and $(n \ge 4)$, and shows that the conditional diagnosability of $(k)$-ary $(n)$-cubes under the comparison diagnosis model is $(6n-5)$.