Achieving near-optimal traffic engineering solutions for current OSPF/IS-IS networks
IEEE/ACM Transactions on Networking (TON)
Optimal Routing with Multiple Traffic Matrices Tradeoff between Average andWorst Case Performance
ICNP '05 Proceedings of the 13TH IEEE International Conference on Network Protocols
Providing public intradomain traffic matrices to the research community
ACM SIGCOMM Computer Communication Review
COPE: traffic engineering in dynamic networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
IGP link weight assignment for operational Tier-1 backbones
IEEE/ACM Transactions on Networking (TON)
Edge-based traffic engineering for OSPF networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Traffic Engineering an Operational Network with the TOTEM Toolbox
IEEE Transactions on Network and Service Management
An overview of routing optimization for internet traffic engineering
IEEE Communications Surveys & Tutorials
Scalable monitoring support for resource management and service assurance
IEEE Network: The Magazine of Global Internetworking
Intra-Domain Delay-Based Quality of Service Using Differentiated Routing
MMNS '08 Proceedings of the 11th IFIP/IEEE international conference on Management of Multimedia and Mobile Networks and Services: Management of Converged Multimedia Networks and Services
Robust traffic engineering using multi-topology routing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Towards decentralized and adaptive network resource management
Proceedings of the 7th International Conference on Network and Services Management
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In this paper we present an intelligent multi-topology IGP (MT-IGP) based intra-domain traffic engineering (TE) scheme that is able to handle unexpected traffic fluctuations with near-optimal network performance. First of all, the network is dimensioned through offline link weight optimization using Multi-Topology IGPs for achieving maximum path diversity across multiple routing topologies. Based on this optimized MT-IGP configuration, an adaptive traffic engineering algorithm performs dynamic traffic splitting adjustment for balancing the load across multiple routing topologies in reaction to the monitored traffic dynamics. Such an approach is able to efficiently minimize the occurrence of network congestion without the necessity of frequently changing IGP link weights that may cause transient forwarding loops and routing instability. Our experiments based on real network topologies and traffic matrices show that our approach has a high chance of achieving near-optimal network performance with only a small number of routing topologies.