| Probabilistic language analysis of weighted voting algorithms |
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Joint International Conference on Measurement and Modeling of Computer Systems
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Proceedings of the 1990 ACM SIGMETRICS conference on Measurement and modeling of computer systems
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Univ. of Colorado, Boulder, Colorado, United States
Pages: 67 - 73
Year of Publication: 1990
ISBN:0-89791-359-0
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Authors
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Louise E. Moser
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Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA
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Vikas Kapur
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Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA
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P. M. Melliar-Smith
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Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA
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Downloads (6 Weeks): 3, Downloads (12 Months): 13, Citation Count: 0
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ABSTRACT
We present a method of analyzing the performance of weighted voting algorithms in a fault-tolerant distributed system. In many distributed systems, some processors send messages more frequently than others and all processors share a common communication medium, such as an Ethernet. Typical fault-tolerant voting algorithms require that a certain minimum number of votes be collected from different processors. System performance is significantly affected by the time required to collect those votes. We formulate the problem of weighted voting in terms of probabilistic languages and then use the calculus of generating functions to compute the expected delay to collect that number of votes. An application of the method to a particular voting algorithm, the Total protocol, is given.
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.
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Moser, L. E., Melliar-Smith, P. M. and Agrawala, V. Asymptotic broadcast agreement protocols. Submitted for publication.
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Tong, Z. and Kain, R. Y. Vote assignments in weighted voting mechanisms, Proceedings of 7th Symposium on Reliable Distributed Systems, Oct. 1988, 138-143.
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