Matrix Representation of Iterative Approximate Byzantine Consensus in Directed Graphs

Computer Science – Distributed – Parallel – and Cluster Computing

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

This paper presents a proof of correctness of an iterative approximate Byzantine consensus (IABC) algorithm for directed graphs. The iterative algorithm allows fault- free nodes to reach approximate conensus despite the presence of up to f Byzantine faults. Necessary conditions on the underlying network graph for the existence of a correct IABC algorithm were shown in our recent work [15, 16]. [15] also analyzed a specific IABC algorithm and showed that it performs correctly in any network graph that satis?es the necessary condition, proving that the necessary condition is also sufficient. In this paper, we present an alternate proof of correctness of the IABC algorithm, using a familiar technique based on transition matrices [9, 3, 17, 19]. The key contribution of this paper is to exploit the following observation: for a given evolution of the state vector corresponding to the state of the fault-free nodes, many alternate state transition matrices may be chosen to model that evolution cor- rectly. For a given state evolution, we identify one approach to suitably "design" the transition matrices so that the standard tools for proving convergence can be applied to the Byzantine fault-tolerant algorithm as well. In particular, the transition matrix for each iteration is designed such that each row of the matrix contains a large enough number of elements that are bounded away from 0.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Matrix Representation of Iterative Approximate Byzantine Consensus in Directed Graphs does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Matrix Representation of Iterative Approximate Byzantine Consensus in Directed Graphs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Matrix Representation of Iterative Approximate Byzantine Consensus in Directed Graphs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-18041

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.