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In this paper, we posit that extension of SDN to support deeply and flexibly programmable, software-defined data plane significantly enhance SDN and NFV and their interaction in terms of (1) enhanced interaction between applications and networks, (2) optimization of network functions, and (3) rapid development of new network protocols. All of these benefits are expected to contribute to improving the quality of diversifying communication networks and services. We identify three major technical challenges for enabling software-defined data plane as (1) ease of programming, (2) reasonable and predictable performance and (3) isolation among multiple concurrent logics. We also promote application-driving thinking towards defining software defined data-plane. We briefly introduce our project FLARE and its related technologies and review four use cases of flexible and deeply programmable data plane.
Akihiro NAKAO
The University of Tokyo
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Akihiro NAKAO, "Software-Defined Data Plane Enhancing SDN and NFV" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 1, pp. 12-19, January 2015, doi: 10.1587/transcom.E98.B.12.
Abstract: In this paper, we posit that extension of SDN to support deeply and flexibly programmable, software-defined data plane significantly enhance SDN and NFV and their interaction in terms of (1) enhanced interaction between applications and networks, (2) optimization of network functions, and (3) rapid development of new network protocols. All of these benefits are expected to contribute to improving the quality of diversifying communication networks and services. We identify three major technical challenges for enabling software-defined data plane as (1) ease of programming, (2) reasonable and predictable performance and (3) isolation among multiple concurrent logics. We also promote application-driving thinking towards defining software defined data-plane. We briefly introduce our project FLARE and its related technologies and review four use cases of flexible and deeply programmable data plane.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.12/_p
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@ARTICLE{e98-b_1_12,
author={Akihiro NAKAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Software-Defined Data Plane Enhancing SDN and NFV},
year={2015},
volume={E98-B},
number={1},
pages={12-19},
abstract={In this paper, we posit that extension of SDN to support deeply and flexibly programmable, software-defined data plane significantly enhance SDN and NFV and their interaction in terms of (1) enhanced interaction between applications and networks, (2) optimization of network functions, and (3) rapid development of new network protocols. All of these benefits are expected to contribute to improving the quality of diversifying communication networks and services. We identify three major technical challenges for enabling software-defined data plane as (1) ease of programming, (2) reasonable and predictable performance and (3) isolation among multiple concurrent logics. We also promote application-driving thinking towards defining software defined data-plane. We briefly introduce our project FLARE and its related technologies and review four use cases of flexible and deeply programmable data plane.},
keywords={},
doi={10.1587/transcom.E98.B.12},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - Software-Defined Data Plane Enhancing SDN and NFV
T2 - IEICE TRANSACTIONS on Communications
SP - 12
EP - 19
AU - Akihiro NAKAO
PY - 2015
DO - 10.1587/transcom.E98.B.12
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2015
AB - In this paper, we posit that extension of SDN to support deeply and flexibly programmable, software-defined data plane significantly enhance SDN and NFV and their interaction in terms of (1) enhanced interaction between applications and networks, (2) optimization of network functions, and (3) rapid development of new network protocols. All of these benefits are expected to contribute to improving the quality of diversifying communication networks and services. We identify three major technical challenges for enabling software-defined data plane as (1) ease of programming, (2) reasonable and predictable performance and (3) isolation among multiple concurrent logics. We also promote application-driving thinking towards defining software defined data-plane. We briefly introduce our project FLARE and its related technologies and review four use cases of flexible and deeply programmable data plane.
ER -