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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Coelho, Nuno B. , Monteiro, F. A. & Lopes, Rui J. (2019). Self-adapting linear network coding emulation. IEEE International Symposium on Networks, Computers and Communications (ISNCC'19).
Exportar Referência (IEEE)
N. B. Coelho et al.,  "Self-adapting linear network coding emulation", in IEEE Int. Symp. on Networks, Computers and Communications (ISNCC'19), Istanbul, 2019
Exportar BibTeX
@misc{coelho2019_1777433866176,
	author = "Coelho, Nuno B.  and Monteiro, F. A. and Lopes, Rui J.",
	title = "Self-adapting linear network coding emulation",
	year = "2019",
	howpublished = "Ambos (impresso e digital)",
	url = "https://sites.google.com/site/isncc2019/"
}
Exportar RIS
TY  - CPAPER
TI  - Self-adapting linear network coding emulation
T2  - IEEE International Symposium on Networks, Computers and Communications (ISNCC'19)
AU  - Coelho, Nuno B. 
AU  - Monteiro, F. A.
AU  - Lopes, Rui J.
PY  - 2019
CY  - Istanbul
UR  - https://sites.google.com/site/isncc2019/
AB  - 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.
ER  -