An approach to off-line inter-domain qos-aware resource optimization

Authors:
Manuel Pedro;Edmundo Monteiro;Fernando Boavida
Affiliations:
School of Technology and Management, Polytechnic Institute of Leiria, Leiria, Portugal;University of Coimbra, Coimbra, Portugal;University of Coimbra, Coimbra, Portugal
Venue:
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
Year:
2006

Citing 8
Cited 0

An updated survey of GA-based multiobjective optimization techniques

ACM Computing Surveys (CSUR)
Internet Routing Architectures, Second Edition

Internet Routing Architectures, Second Edition
Routing, Flow, and Capacity Design in Communication and Computer Networks

Routing, Flow, and Capacity Design in Communication and Computer Networks
Performance Analysis for Multi-Service Networks with Congestion-Based Pricing for QoS Traffic

ANSS '05 Proceedings of the 38th annual Symposium on Simulation
Collecting the internet AS-level topology

ACM SIGCOMM Computer Communication Review
Autonomic Self-Optimization According to Business Objectives

ICAC '04 Proceedings of the First International Conference on Autonomic Computing
A Two-Phase Algorithm for Off-line Inter-Domain Traffic Optimization

AICT-SAPIR-ELETE '05 Proceedings of the Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop
A fast and elitist multiobjective genetic algorithm: NSGA-II

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Inter-domain traffic engineering is a key issue when QoS-aware resource optimization is concerned. Mapping inter-domain traffic flows into existing service level agreements is, in general, a complex problem, for which some algorithms have recently been proposed in the literature. In this paper a modified version of a multi-objective genetic algorithm is proposed, in order to optimize the utilization of domain resources from several perspectives: bandwidth, monetary cost, and routing trustworthiness. Results show trade-off solutions and “optimal” solutions for each perspective. The proposal is a useful tool in inter-domain management because it can assist and simplify the decision process.