Talk
Self-adapting linear network coding emulation
Nuno Bettencourt Coelho (Coelho, Nuno B. ); Francisco A. Monteiro (Monteiro, F. A.); Rui J. Lopes (Lopes, Rui J.);
Event Title
IEEE International Symposium on Networks, Computers and Communications (ISNCC'19)
Year (definitive publication)
2019
Language
English
Country
Turkey
More Information
Abstract
Linear network coding (LNC) introduced a new paradigm for routing data across networks where the transported packets are not the original information packets but rather linear combinations of the original packets. This is known to allow a more efficient use of the network resources. With LNC based on systematic network codes, the network’s capacity is chiefly defined by the rank of the end-to-end equivalent transfer matrix. This paper presents a network-layer emulator based on the object- oriented programming paradigm, which allows, for any network topology, to have the network’s capacity self-optimized by adapting the coding operations performed at each node, depending on the impact the changes have on the global rank of the global transfer matrix, and on a metric related to the use of network’s resources.
Acknowledgements
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Keywords
Linear network coding,Software Defined Networks (SDN),Network resilience,Rank metric,Java emulation
Funding Records
Funding Reference Funding Entity
UID/EEA/50008/2019 Fundação para a Ciência e a Tecnologia