Distributed maximal independent set computation driven by finite-state dynamics
Abstract
A Maximal Independent Set (MIS) is an inclusion maximal set of pairwise non-adjacent vertices. The computation of an MIS is one of the core problems in distributed computing. In this article, we introduce and analyze a finite-state distributed randomized algorithm for computing a Maximal Independent Set (MIS) on arbitrary undirected graphs. Our algorithm is self-stabilizing (reaches a correct output on any initial configuration) and can be implemented on systems with very scarce conditions. We analyze the convergence time of the proposed algorithm, showing that in many cases the algorithm converges in logarithmic time with high probability. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
Más información
| Título según WOS: | Distributed maximal independent set computation driven by finite-state dynamics |
| Título según SCOPUS: | Distributed maximal independent set computation driven by finite-state dynamics |
| Título de la Revista: | International Journal of Parallel, Emergent and Distributed Systems |
| Volumen: | 38 |
| Número: | 1 |
| Editorial: | Taylor and Francis Ltd. |
| Fecha de publicación: | 2023 |
| Página de inicio: | 85 |
| Página final: | 97 |
| Idioma: | English |
| DOI: |
10.1080/17445760.2022.2153248 |
| Notas: | ISI, SCOPUS |