Self-adapting linear network coding emulation
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 |
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