Title :
A4SDN - Adaptive Alienated Ant Algorithm for Software-Defined Networking
Author :
Antonella Di Stefano;Giovanni Cammarata;Giovanni Morana;Daniele Zito
Abstract :
This paper introduces A4SDN, a distributed, adaptive, load-balancing algorithm for traffic engineering on Software-Defined Networks. A4SDN, i.e. the Adaptive Alienated Ant Algorithm for Software-Defined Networking, is based on the Alienated Ant Algorithm (AAA), a stochastic-based, heuristic approach used to solve combinatorial and multi-constraint optimisation problems. Based on a non natural ants´ behaviour, the AAA forces the ants in searching for food to distribute themselves over all the available paths rather than converge to a single one. This strategy, applied to the packets to route, supplies an autonomic dynamic routing and leads to a better exploitation of the network bandwidth, enforcing best effort traffic and improving network performance. A comparison between A4SDN with two Dijkstra-based routing solutions clearly shows that A4SDN is able to guarantee a higher throughput associated with a lower delay and packet loss rate.
Keywords :
"Routing","Network topology","Control systems","Topology","Throughput","Delays","Runtime"
Conference_Titel :
P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2015 10th International Conference on
DOI :
10.1109/3PGCIC.2015.120