JOURNAL ARTICLE

Routing multiple multicast services using genetic algorithms

Abstract

This work focuses on the group multicast routing problem. The major contribution of the paper to this problem is twofold. Firstly, the use of the genetic algorithms (GA) is proposed for solving the complexity problem inherent to the packing of multiple sessions. Secondly, a novel cost function is proposed, weighting in a single expression both network bandwidth allocation and provided one-way delay. The proposed function is guided by few parameters that can be easily tuned during traffic engineering operations; an appropriate setting of these parameters allows the operator to configure the desired balance between network resource utilization and provided QoS in terms of transmission delay. Experimental results are compared with those of a heuristic algorithm that provides a lower bound for the optimization problem. This highlights that the proposed method brings to a strong reduction in the processing time.

Keywords:
Multicast Computer science Routing (electronic design automation) Xcast Quality of service Genetic algorithm Weighting Computer network Bandwidth (computing) Distributed computing Mathematical optimization Algorithm Mathematics

Metrics

1
Cited By
0.42
FWCI (Field Weighted Citation Impact)
16
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Network Traffic and Congestion Control
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Optical Network Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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