Deriving traffic demands for operational IP networks: methodology and experience
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Pop-level and access-link-level traffic dynamics in a tier-1 POP
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Optimizing OSPF/IS-IS weights in a changing world
IEEE Journal on Selected Areas in Communications
Traffic matrix estimation on a large IP backbone: a comparison on real data
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Achieving near-optimal traffic engineering solutions for current OSPF/IS-IS networks
IEEE/ACM Transactions on Networking (TON)
Interface split routing for finer-grained traffic engineering
Performance Evaluation
Towards ambient networks management
MATA'05 Proceedings of the Second international conference on Mobility Aware Technologies and Applications
Performance of traffic engineering in operational IP networks – an experimental study
IPOM'05 Proceedings of the 5th IEEE international conference on Operations and Management in IP-Based Networks
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Intra-domain routing in the Internet normally uses a single shortest path to forward packets towards a specific destination with no knowledge of traffic demand. We present an intra-domain routing algorithm based on multi-commodity flow optimisation which enable load sensitive forwarding over multiple paths. It is neither constrained by weight-tuning of legacy routing protocols, such as OSPF, nor requires a totally new forwarding mechanism, such as MPLS. These characteristics are accomplished by aggregating the traffic flows destined for the same egress into one commodity in the optimisation and using a hash based forwarding mechanism. The aggregation also results in a reduction of computational complexity which makes the algorithm feasible for on-line load balancing. Another contribution is the optimisation objective function which allows precise tuning of the tradeoff between load balancing and total network efficiency.