Title :
A QoS network routing algorithm using multiple pheromone tables
Author :
Tadrus, Samih ; Bai, Li
Author_Institution :
Sch. of Comput. Sci. & IT, Nottingham Univ., UK
Abstract :
Quality-of-services routing algorithms that utilize probes are criticized for not being able to achieve optimal path selection for real-time flows. This is because probe-based algorithms do not have a global view of the network. We introduce a new probe-based routing algorithm for packet-switched networks that supports both best-effort and real-time flows. Unlike other probe-based algorithms, probes are routed via routing tables to achieve optimal performance. Simulations were carried out on QColony and other QoS probe-based routing systems under various network traffic loads and irregular network topologies. Simulation results, concerning resource utilization and connection request success rates, show that QColony provides good performance under heavy loads with failure conditions especially for large networks. We also introduce a novel approach for traffic protection in case of network failure conditions.
Keywords :
digital simulation; distributed processing; optimisation; packet switching; probability; probes; quality of service; telecommunication network routing; telecommunication traffic; QColony routing systems; QoS probe-based routing algorithm; Swarm intelligence; multiple pheromone routing tables; network connection request success rates; network failure conditions; network traffic loads; optimal performance; packet-switched networks; resource utilization; Computer science; Machine learning algorithms; Network topology; Probes; Protection; Quality of service; Resource management; Routing; Telecommunication traffic; Traffic control;
Conference_Titel :
Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on
Print_ISBN :
0-7695-1932-6
DOI :
10.1109/WI.2003.1241184