Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
SIAM Journal on Computing
A flexible model for resource management in virtual private networks
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Profile-Based Routing: A New Framework for MPLS Traffic Engineering
COST 263 Proceedings of the Second International Workshop on Quality of Future Internet Services
Network robustness and graph topology
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
Concepts of exact QoS routing algorithms
IEEE/ACM Transactions on Networking (TON)
IEEE Journal on Selected Areas in Communications
Comparison of network criticality, algebraic connectivity, and other graph metrics
Proceedings of the 1st Annual Workshop on Simplifying Complex Network for Practitioners
Survival value of communication networks
INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
Autonomic traffic engineering for network robustness
IEEE Journal on Selected Areas in Communications
Robust network planning in nonuniform traffic scenarios
Computer Communications
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This paper presents an algorithm for finding a robust routing plan in core networks that takes into consideration network topology, available capacity, traffic demand, and quality of service (QoS) requirements. The algorithm addresses the difficult problem in routing and traffic engineering of optimal path selection. Our approach is inspired by the concept of "between-ness" from graph theory, from which we introduce quantitative metrics for link and path criticality. Paths are ranked according to path criticality and the algorithm tries to avoid placing flows on the most critical paths, maximizes throughput over the short term in the presence of QoS constraints, and attempts to increase the bandwidth of the critical paths for future use. The proposed approach shows promise relative to previous proposals in simulations on benchmark and experimental networks.