SRLG inference in OSPF for improved reconvergence after failures

The ECODE FP7 project researches cognitive routing functions in future networks. We demonstrate machine learning augmented OSPF routing which infers SRLGs from network failure history. Inferred SRLGs are used to improve OSPF convergence and recovery times during subsequent (multiple) network failures

Dimensioning of an European backbone network in OPNET WDM Guru

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Influence of multilayer traffic engineering timing parameters on network performance

Recent advances in optical networking technology have moved the state-of-the-art from manually installed fiber connections to fully automatic switched lightpaths. Multilayer Traffic Engineering (MTE) in an IP-over-Optical network allows to leverage rapid lightpath setup/teardown as a cross-layer traffic engineering technique. It enables on-the-fly reconfiguration of the IP layer logical topology and up/downgrade of the capacity of IP links. Together with classical IP layer routing techniques, MTE intelligently solves problems such as IP layer congestion and packet loss and it may optimize optical layer capacity usage and total network throughput. In this, the rate at which MTE can make adjustments to the network is limited by technology and stability concerns. We present some example MTE techniques and discuss how the timing parameters of these mechanisms impact perceived network performance

Multilayer traffic engineering performance in overlay networks

Multilayer Traffic Engineering uses fast switching optical networks to modify or up/downgrade upper layer logical topologies according to changing traffic patterns. The multilayer overlay model limits information exchange between layers and thereby impacts overall performance