Enhancing the computation of distributed shortest paths on real dynamic networks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

Enhancing the computation of distributed shortest paths on real dynamic networks

Abstract

The problem of finding and updating shortest paths in distributed networks is considered crucial in today's practical applications. In the recent past, there has been a renewed interest in devising new efficient distance-vector algorithms as an attractive alternative to link-state solutions for large-scale Ethernet networks, in which scalability and reliability are key issues or the nodes can have limited storage capabilities. In this paper we present Distributed Computation Pruning (DCP), a new technique, which can be combined with every distance-vector routing algorithm based on shortest paths, allowing to reduce the total number of messages sent by that algorithm and its space occupancy per node. To check its effectiveness, we combined DCP with DUAL (Diffuse Update ALgorithm), one of the most popular distance-vector algorithm in the literature, which is part of CISCO's widely used EIGRP protocol, and with the recently introduced LFR (Loop Free Routing) which has been shown to have good performances on real networks. We give experimental evidence that these combinations lead to a significant gain both in terms of number of messages sent and memory requirements per node.
Fichier principal
Vignette du fichier
main.pdf (180.6 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00755395 , version 1 (21-11-2012)

Identifiers

Cite

Gianlorenzo d'Angelo, Mattia d'Emidio, Daniele Frigioni, Daniele Romano. Enhancing the computation of distributed shortest paths on real dynamic networks. 1st Mediterranean Conference on Algorithms, Dec 2012, Ein-Gedi, Israel. pp.148-158, ⟨10.1007/978-3-642-34862-4_11⟩. ⟨hal-00755395⟩
232 View
191 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More