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Fault tree models for reliability analysis of an FDDI token ring network
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Source ACM Southeast Regional Conference archive
Proceedings of the 30th annual Southeast regional conference table of contents
Raleigh, North Carolina
SESSION: Session 3A: Networks table of contents
Pages: 277 - 284  
Year of Publication: 1992
ISBN:0-89791-506-2
Author
Dov Bulka  Duke University, Durham, NC
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 15,   Citation Count: 0
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ABSTRACT

As suggested by the title the purpose of this paper is twofold. One goal is to analyze the reliability of the FDDI token ring, and the other is to demonstrate the usefulness of the fault tree concept in the design and analysis of a complex system. Combinatorial and markov chain analysis of FDDI reliability leads to a complex model that at times is difficult to validate. The fault tree model, however, is easy to construct, verify and solve. Fault tree models are built for two examples of FDDI token rings. We also consider the impact of the link "wrap-around" recovery mechanism on system reliability. It turns out that the use of the "wrap-around" does not always improve system reliability.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
BATEMAN, K., AND CORTES, E. Availability modeling of FDDI networks. In Reliability and Maintainability Symposium (January 1989).
 
2
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DUGAN, J. B., TRIVEDI, K., SMOTHERMAN, M., AND GRIST, R. The hybrid automated reliability predictor. AIAA Journal of Guidance, Control and Dynamics 9, no. 3 (1986), 319-331.
 
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LOGOTHETIS, D., AND TRIVEDI, K. Reliability of fddi token ring. In 16th Conference on Local Computer Networks (October 1991).
 
5
Ross, F. FDDI- a tutorial. IEEE Communications Magazine P4, 5 (1986), 10-17.
 
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7
VEERARAGHAVAN, M. Modeling and evaluation of fault-tolerant multiple processor systems. PhD thesis, Department of electrical engineering, Duke university, 1988.