Title
Average long-lived memoryless consensus: the three-value case
Abstract
We study strategies that minimize the instability of a fault-tolerant consensus system. More precisely, we find the strategy than minimizes the number of output changes over a random walk sequence of input vectors (where each component of the vector corresponds to a particular sensor reading). We analyze the case where each sensor can read three possible inputs. The proof of this result appears to be much more complex than the proof of the binary case (previous work). In the binary case the problem can be reduced to a minimal cut in a graph. We succeed in three dimensions by using the fact that an auxiliary graph (projected graph) is planar. For four and higher dimensions this auxiliary graph is not planar anymore and the problem remains open.
Year
DOI
Venue
2010
10.1007/978-3-642-13284-1_10
SIROCCO
Keywords
Field
DocType
possible input,minimal cut,particular sensor reading,three-value case,output change,projected graph,average long-lived memoryless consensus,fault-tolerant consensus system,binary case,input vector,auxiliary graph,higher dimension,three dimensions,random walk,fault tolerant
Strength of a graph,Discrete mathematics,Combinatorics,Random walk,String graph,Null graph,Graph bandwidth,Voltage graph,Mathematics,Planar graph,Complement graph
Conference
Volume
ISSN
ISBN
6058
0302-9743
3-642-13283-9
Citations 
PageRank 
References 
3
0.47
11
Authors
2
Name
Order
Citations
PageRank
Ivan Rapaport119921.93
Eric Rémila232945.22