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Practical, scalable algorithms for Byzantine agreement

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/17495

Practical, scalable algorithms for Byzantine agreement

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dc.contributor.author Oluwasanmi, Olumuyiwa
dc.date.accessioned 2012-02-01T18:28:37Z
dc.date.available 2012-02-01T18:28:37Z
dc.date.issued 2012-02-01
dc.date.submitted December 2011
dc.identifier.uri http://hdl.handle.net/1928/17495
dc.description.abstract With the growth of the Internet, there has been a push toward designing reliable algorithms that scale effectively in terms of latency, bandwidth and other computational resources. Scalability has been a serious problem especially with peer-to-peer (p2p) networks which may have sizes of more than a million nodes. An important problem in designing reliable algorithms is Byzantine agreement. For reasons of scalability, message complexity is a critical resource for this problem. Unfortunately, previous solutions to Byzantine agreement require each processor to send $O(n)$ messages, where $n$ is the total number of processors in the network. In this dissertation, we show that the Byzantine agreement problem can be solved with significantly less that a linear number of messages both in theory and in practice. We implement and test algorithms that solve the classical problem with each processor sending only $\tilde{O}(\sqrt{n})$ messages. Further, we consider the problem in the case where we assume the existence of a random beacon: a global source of random bits. We show that with this assumption, the required number of messages drops to $O(\log n)$, with small hidden constants. Our algorithms are Monte Carlo and succeed with high probability, that is probability $1-o(n^k)$ for some positive constant $k$. Our empirical results suggest that our algorithms may outperform classical solutions to Byzantine agreement for network of size larger than 30,000 nodes. en_US
dc.description.sponsorship NSF, AFOSR MURI Grant. en_US
dc.language.iso en_US en_US
dc.subject Byzantine Agreement en_US
dc.subject Fault-Tolerant en_US
dc.subject Fault-Tolerance en_US
dc.subject Randomized Algorithm en_US
dc.subject Monte Carlo en_US
dc.subject Random Beacon en_US
dc.subject Distributed Algorithm en_US
dc.subject Consensus en_US
dc.subject Byzantine en_US
dc.subject.lcsh Computer networks--Scalability.
dc.subject.lcsh Fault-tolerant computing.
dc.subject.lcsh Computer algorithms.
dc.title Practical, scalable algorithms for Byzantine agreement en_US
dc.type Dissertation en_US
dc.description.degree Computer Science en_US
dc.description.level Doctoral en_US
dc.description.department University of New Mexico. Dept. of Computer Science en_US
dc.description.advisor Saia, Jared
dc.description.committee-member Bridges, Patrick
dc.description.committee-member Moore, Cristopher
dc.description.committee-member Valerie, King


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