Paper
11 October 2023 The diagnosability of 3-ary n-cubes under the symmetric PMC model
Chaofeng Lv, Qiang Zhu
Author Affiliations +
Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 1291804 (2023) https://doi.org/10.1117/12.3009225
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China
Abstract
The diagnosability of many interconnection networks under the well-known PMC model and MM* has been examined as a gauge of the multiprocessor systems’ diagnosis capacity. The symmetric PMC model (SPMC model), a variation of the famous PMC model, is recently proposed by Zhu et al. Based on the PMC model, the SPMC model is obtained by adding two assumptions: (1) Each pair of neighboring nodes is believed to test each other; (2) For a given syndrome, only its minimal consistent faulty sets are to be located in 1-step diagnosis. As well-known interconnection networks, a number of characteristics of the 3-ary n-cubes have been examined. In this paper, the diagnosability of 3-ary n-cubes under the symmetric PMC model is determined. The result shows that the diagnosability of a 3-ary n-cube under the SPMC model is almost double that of the PMC model.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chaofeng Lv and Qiang Zhu "The diagnosability of 3-ary n-cubes under the symmetric PMC model", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 1291804 (11 October 2023); https://doi.org/10.1117/12.3009225
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KEYWORDS
Systems modeling

Mathematical modeling

Computing systems

Statistical modeling

Diagnostics

Fluctuations and noise

Mathematics

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