Skip to main content
Log in

Hybrid diagnosis of regular networks under the HPMC fault model

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

Faulty diagnosis of multiprocessor systems is an important area of study in the design and maintenance of multiprocessor systems. However, most researchers on diagnosability focus on vertex faults. In real circumstances, not only vertex faults take place but also edge malfunctions may occur. Recently, a kind of new model for the fault diagnosis in hybrid fault circumstances with both vertex and edge faults, called the HPMC model, has been proposed. Moreover, two new measures for fault diagnosis of multiprocessor systems in hybrid fault circumstances, namely, the h-restricted vertex diagnosability and the r-restricted edge diagnosability, denoted by \(t_{h}^{e}(G)\) and \(s_{r}^{v}(G)\), respectively, have been proposed under the HPMC model at the same time. In this paper, we obtain the h-restricted vertex diagnosability and the r-restricted edge diagnosability of some classes of regular networks under the HPMC model, which extend some results in Zhu et al. (AKCE Int J Graphs Comb 17(3):755–760, 2020).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data availability statement

The authors confirm that the data supporting the findings of this study are available within the article and its supplementary materials.

References

  1. Akers SB, Krishnamurthy B (1989) A group-theoretic model for symmetric interconnection networks. IEEE Trans Comput 38(4):555–566

    Article  MathSciNet  Google Scholar 

  2. Bondy JA, Murty USR (2008) Graph theory. Springer, New York

    Book  Google Scholar 

  3. Chang G-Y, Chang G, Chen G-H (2005) Diagnosabilities of regular networks. IEEE Trans Parallel Distrib Syst 16(4):314–323

    Article  Google Scholar 

  4. Chang N-W, Hsieh S-Y (2014) Structural properties and conditional diagnosability of star graphs by using PMC model. IEEE Trans Parallel Distrib Syst 25(11):3002–3011

    Article  Google Scholar 

  5. El-Amawy A, Latifi S (1991) Properties and performance of folded hypercubes. IEEE Trans Parallel Distrib Syst 2:31–42

    Article  Google Scholar 

  6. Li X (2016) Strong diagnosability and conditional diagnosability of optical multi-mesh hypercube networks under the PMC model. Int J Comput Math 93(12):2054–2063

    Article  MathSciNet  Google Scholar 

  7. Lin L, Hsieh S-Y, Xu L, Zhou S, Chen R (2018) The relationship between extra connectivity and conditional diagnosability of regular graphs under the PMC model. J Comput Syst Sci 95:1–18

    Article  MathSciNet  Google Scholar 

  8. Lin C-K, Teng Y-H (2014) The diagnosability of triangle-free graphs. Theor Comput Sci 530:58–65

    Article  MathSciNet  Google Scholar 

  9. Lai P-L, Tan JJ-M, Chang C-P, Hsu L-H (2005) Conditional diagnosability measures for large multiprocessor systems. IEEE Trans Comput 54(2):165–175

    Article  Google Scholar 

  10. Lin L, Xu L, Zhou S, Hsieh S-Y (2016) The \(t/k\)-diagnosability for regular networks. IEEE Trans Comput 65(10):3157–3170

    Article  MathSciNet  Google Scholar 

  11. Lian G, Zhou S, Hsieh S-Y, Liu J, Chen G, Wang Y (2019) Performance evaluation on hybrid fault diagnosability of regular networks. Theor Comput Sci 796:147–153

    Article  MathSciNet  Google Scholar 

  12. Preparata FP, Metze G, Chien RT (1967) On the connection assignment problem of diagnosis systems. IEEE Trans Electron Comput EC–16(6):848–854

    Article  Google Scholar 

  13. Sullivan H, Bashkow T (1977) A large scale, homogeneous, fully distributed parallel machine, I. ACM Sigarch Comput Archit News 5:105–117

    Article  Google Scholar 

  14. Shi L-S, Wu P (2017) Conditional connectivity of bubble sort graphs. Acta Math Appl Sin E 33(4):933–944

    Article  MathSciNet  Google Scholar 

  15. Vaidya AS, Rao PSN, Shankar SR (1993) A class of hypercube-like network. In: Proceedings of 5th Symposium on Parallel and Distributed Processing, pp 800–803

  16. Xu L, Zhou S, Lian G (2018) Conditional diagnosability of multiprocessor systems based on complete-transposition graphs. Discrete Appl Math 247:367–379

    Article  MathSciNet  Google Scholar 

  17. Zhu Q (2008) On conditional diagnosability and reliability of the BC networks. J Supercomput 45:173–184

    Article  Google Scholar 

  18. Zhu Q, Xu J-M (2006) On restricted edge connectivity and extra edge connectivity of hypercubes and foled hypercubes. J Univ Sci Technol. China 36(3):246–253

    MATH  Google Scholar 

  19. Zhu Q, Xu J-M, Hou X-M, Xu M (2007) On reliability of the folded hypercubes. Inf Sci 177(8):1782–1788

    Article  MathSciNet  Google Scholar 

  20. Zhu Q, Thulasiraman K, Xu M, Radhakrishnan S (2020) Hybrid PMC (HPMC) fault model and diagnosability of interconnection networks. AKCE Int J Graphs Comb 17(3):755–760

    Article  MathSciNet  Google Scholar 

  21. Zhang N, Zhu Q (2021) Reliability and hybrid diagnosis of exchanged hypercube. Theor Comput Sci 849:202–209

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

We would like to thank the anonymous referees for a number of helpful comments and suggestions.

Funding

This work is supported by Natural Science Foundation of Fujian Province, China (No.2021J01860), National Natural Science Foundation of China (No.11301217) and Digital Fujian Big Data Modeling and Intelligent Computing Institute Open Fund Project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Liqiong Xu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (JPG 10 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yin, S., Xu, L. Hybrid diagnosis of regular networks under the HPMC fault model. J Supercomput 78, 17247–17260 (2022). https://doi.org/10.1007/s11227-022-04531-2

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-022-04531-2

Keywords

Navigation