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Reliability modeling of large fault-tolerant systems

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Reliability modeling of large fault-tolerant systems. / Suri, N.; Hugue, M.M.; Walter, C.J.
Digest of Papers. FTCS-22: The Twenty-Second International Symposium on Fault-Tolerant Computing. IEEE, 1992. p. 212-220.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Suri, N, Hugue, MM & Walter, CJ 1992, Reliability modeling of large fault-tolerant systems. in Digest of Papers. FTCS-22: The Twenty-Second International Symposium on Fault-Tolerant Computing. IEEE, pp. 212-220. https://doi.org/10.1109/FTCS.1992.243598

APA

Suri, N., Hugue, M. M., & Walter, C. J. (1992). Reliability modeling of large fault-tolerant systems. In Digest of Papers. FTCS-22: The Twenty-Second International Symposium on Fault-Tolerant Computing (pp. 212-220). IEEE. https://doi.org/10.1109/FTCS.1992.243598

Vancouver

Suri N, Hugue MM, Walter CJ. Reliability modeling of large fault-tolerant systems. In Digest of Papers. FTCS-22: The Twenty-Second International Symposium on Fault-Tolerant Computing. IEEE. 1992. p. 212-220 doi: 10.1109/FTCS.1992.243598

Author

Suri, N. ; Hugue, M.M. ; Walter, C.J. / Reliability modeling of large fault-tolerant systems. Digest of Papers. FTCS-22: The Twenty-Second International Symposium on Fault-Tolerant Computing. IEEE, 1992. pp. 212-220

Bibtex

@inproceedings{f1d0d1a0378e4005b8919529b4811734,
title = "Reliability modeling of large fault-tolerant systems",
abstract = "A cluster-based ultrareliable architecture is presented, offering synchronization and system functionality comparable to that of fully connected systems, with reduced system overhead. A reliability model considering the distribution of concurrent faults across the system clusters is shown to increase the accuracy of reliability and system fault-tolerance estimates. The hybrid fault model, which classifies faults based on their behavior, further improves reliability estimates and enhances the fault handling capability of each cluster. Linear growth in cluster reliability with respect to cluster size is possible, as are refinements in the convergence and consistency algorithms for synchronization. {\textcopyright} 1992 IEEE.",
keywords = "Cluster computing, Fault tolerant computer systems, Systems analysis, Connected systems, Consistency algorithms, Fault tolerant systems, Reduced systems, Reliability estimates, Reliability model, System fault tolerance, System functionality, Fault tolerance",
author = "N. Suri and M.M. Hugue and C.J. Walter",
year = "1992",
doi = "10.1109/FTCS.1992.243598",
language = "English",
isbn = "0818628758",
pages = "212--220",
booktitle = "Digest of Papers. FTCS-22: The Twenty-Second International Symposium on Fault-Tolerant Computing",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Reliability modeling of large fault-tolerant systems

AU - Suri, N.

AU - Hugue, M.M.

AU - Walter, C.J.

PY - 1992

Y1 - 1992

N2 - A cluster-based ultrareliable architecture is presented, offering synchronization and system functionality comparable to that of fully connected systems, with reduced system overhead. A reliability model considering the distribution of concurrent faults across the system clusters is shown to increase the accuracy of reliability and system fault-tolerance estimates. The hybrid fault model, which classifies faults based on their behavior, further improves reliability estimates and enhances the fault handling capability of each cluster. Linear growth in cluster reliability with respect to cluster size is possible, as are refinements in the convergence and consistency algorithms for synchronization. © 1992 IEEE.

AB - A cluster-based ultrareliable architecture is presented, offering synchronization and system functionality comparable to that of fully connected systems, with reduced system overhead. A reliability model considering the distribution of concurrent faults across the system clusters is shown to increase the accuracy of reliability and system fault-tolerance estimates. The hybrid fault model, which classifies faults based on their behavior, further improves reliability estimates and enhances the fault handling capability of each cluster. Linear growth in cluster reliability with respect to cluster size is possible, as are refinements in the convergence and consistency algorithms for synchronization. © 1992 IEEE.

KW - Cluster computing

KW - Fault tolerant computer systems

KW - Systems analysis

KW - Connected systems

KW - Consistency algorithms

KW - Fault tolerant systems

KW - Reduced systems

KW - Reliability estimates

KW - Reliability model

KW - System fault tolerance

KW - System functionality

KW - Fault tolerance

U2 - 10.1109/FTCS.1992.243598

DO - 10.1109/FTCS.1992.243598

M3 - Conference contribution/Paper

SN - 0818628758

SP - 212

EP - 220

BT - Digest of Papers. FTCS-22: The Twenty-Second International Symposium on Fault-Tolerant Computing

PB - IEEE

ER -