Constant Space Self-stabilizing Center Finding Algorithms in Chains and Trees
Document Type
Article
Publication Date
3-29-2018
Publication Title
Parallel Processing Letters
Volume
28
Issue
1
First page number:
1
Last page number:
15
Abstract
Self-stabilizing, but non-silent, distributed algorithms, for center finding in chain and tree networks are presented in the link register model. We assume that there exists a designated root in a chain and a tree. Under this assumption, both algorithms find the unique center or one of the two centers of the network within O(diam) rounds under the unfair daemon, where diam is the diameter of the network. Both algorithms use constant space, both per process and per link register. The basic strategy of the chain algorithm is based on two synchronized waves of different speeds; one wave is three times faster than the other. The tree algorithm uses the fact that a center of the longest path in the tree is also a center of the tree itself. It first finds one of the longest paths in the tree, then finds the unique center or one of the two centers of the path using the chain algorithm.
Keywords
Center finding; Chain networks; Self-stabilization; Tree networks; Unfair daemon
Disciplines
Theory and Algorithms
Language
English
Repository Citation
Sudo, Y.,
Datta, A.,
Larmore, L.
(2018).
Constant Space Self-stabilizing Center Finding Algorithms in Chains and Trees.
Parallel Processing Letters, 28(1),
1-15.
http://dx.doi.org/10.1142/S0129626418500020