Abstract
The possibility of diagnosis of the multiprocessor systems under multiple, up to n−2, failed processors within the framework of the Preparata–Metze–Chien model and method was analyzed. The complete system diagnosis, that is, determination of the good–failed state of all processors, is sometimes possible using the proposed method of analysis of the system diagnostic graph. More precisely, the conditions were determined for impossibility of system diagnosis.
Similar content being viewed by others
References
Preparata, F.P., Metze, G., and Chien, R.T., On the Connection Assignment Problem of Diagnosable Systems, IEEE Trans. Electron. Comput., 1967, vol. ES-16, no. 6, pp. 848–854.
Barsi, F., Grandoni, F., and Maestrini, P., A Theory of Diagnosability of Digital Systems, IEEE Trans. Electron. Comput., 1976, vol. 25, no. 6, pp. 585–593.
Mikeladze, M.A., Development of Basic Self-Diagnosis Models for Complex Engineering Systems, Autom. Remote Control, 1995, vol. 56, no. 5, pp. 611–623.
Grishin, V.Y., Lobanov, A.V., and Sirenko, V.G., Distributed System Diagnosis of Byzantine Failures in Partially Connected Multicomputer Systems, Autom. Remote Control, 2005, vol. 66, no. 2, pp. 304–312.
Belyavskii, V.E., Valuiskii, V.N., Romankevich, A.M., et al., Self-Diagnosable Multimodular Systems: Some Estimates of Testing, Autom. Remote Control, 1999, vol. 60, no. 8, pp. 1179–1183.
Dimitriev, Y.K., On t-Diagnosability of Multicore Systems with Symmetric Circulant Structure, Autom. Remote Control, 2013, vol. 74, no. 1, pp. 105–112.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © A.M. Romankevich, V.A. Romankevich, 2017, published in Avtomatika i Telemekhanika, 2017, No. 9, pp. 84–90.
Rights and permissions
About this article
Cite this article
Romankevich, A.M., Romankevich, V.A. Diagnosis of multiprocessor systems under failure of more than half processors. Autom Remote Control 78, 1614–1618 (2017). https://doi.org/10.1134/S0005117917090065
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0005117917090065