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Diagnosability of the Lexicographic Product of Paths and Complete Bipartite Graphs Under PMC Model

  • Bu Chen
  • , Feng Li
  • Qinghai Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The processors within a multiprocessor system use an interconnection network for communication and data transmission, hence the structure of the interconnection network determines various aspects of the system’s performance. In the event of processor failures within the system, the system’s fault diagnosis capability is very significant. Diagnosability is the crucial parameter for evaluating the fault diagnosis capability of the interconnection network in multiprocessor systems. Studying diagnosability using diagnosis model such as the PMC model is beneficial for improving and optimizing multiprocessor systems. This paper uses the lexicographic product to generate a network structure Pm∘Kx,y which helps maintain the system’s parallel processing capability and high-performance computing. When m≥4, x+y≥5 and y>x, the diagnosability of Pm∘Kx,y under the PMC model is found to be 2x+y, and when 0≤h<2x+y, its h-edge fault tolerance diagnosability is 2x+y-h.

源语言英语
主期刊名Network and Parallel Computing - 20th IFIP WG 10.3 International Conference, NPC 2024, Haikou, China, December 7–8, 2024, Proceedings
编辑Xu Chen, Geyong Min, Deke Guo, Xia Xie, Lingjun Pu
出版商Springer Science and Business Media Deutschland GmbH
41-52
页数12
ISBN(印刷版)9789819628292
DOI
出版状态已出版 - 2025
已对外发布
活动20th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2024 - Haikou, 中国
期限: 7 12月 20248 12月 2024

丛书

姓名Lecture Notes in Computer Science
15527 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议20th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2024
国家/地区中国
Haikou
时期7/12/248/12/24

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