Title
Self-stabilizing (f,g)-Alliances with Safe Convergence
Abstract
Given two functions f and g mapping nodes to non-negative integers, we give a silent self-stabilizing algorithm that computes a minimal (f, g)-alliance in an asynchronous network with unique node IDs, assuming that every node p has a degree at least g(p) and satisfies f(p) ≤ g(p). Our algorithm is safely converging in the sense that starting from any configuration, it first converges to a (not necessarily minimal) (f, g)-alliance in at most four rounds, and then continues to converge to a minimal one in at most 5n + 4 additional rounds, where n is the size of the network. Our algorithm is written in the shared memory model. It is proven assuming an unfair (distributed) daemon. Its memory requirement is O(log n) bits per process, and it takes <InlineEquation ID=\"IEq1\" <EquationSource Format=\"TEX\"$O(\\varDelta^3n)$</EquationSource> </InlineEquation> steps to stabilize, where <InlineEquation ID=\"IEq2\" <EquationSource Format=\"TEX\"$\\varDelta$</EquationSource> </InlineEquation> is the degree of the network.
Year
DOI
Venue
2013
10.1016/j.jpdc.2015.02.001
Journal of Parallel and Distributed Computing
Keywords
Field
DocType
-alliance,safe convergence,self-stabilization
Convergence (routing),Integer,Binary logarithm,Discrete mathematics,Asynchronous network,Shared memory model,Theoretical computer science,Self-stabilization,Daemon,Mathematics
Conference
Volume
Issue
ISSN
81
C
0743-7315
Citations 
PageRank 
References 
3
0.38
21
Authors
5
Name
Order
Citations
PageRank
Fabienne Carrier1151.97
Ajoy Kumar Datta231740.76
Stéphane Devismes319225.74
Lawrence L. Larmore4859109.15
Yvan Rivierre5344.69