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Publication Detailed Description
Self-adapting linear network coding emulation
IEEE International Symposium on Networks, Computers and Communications (ISNCC)
Year (definitive publication)
2019
Language
English
Country
Turkey
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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 obj ect-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,Network resilience,Rank metric,Java emulation
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
Funding Reference | Funding Entity |
---|---|
UID/EEA/50008/2019 | Fundação para a Ciência e a Tecnologia |
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