Network virtualization (NV) provides a promising solution to overcome the resistance of the current Internet in aspects of architecture change, and virtual network embedding (VNE) has been recognized as a core component in NV. In this paper, the current advances in exploring model, methods and technologies for embedding the virtual network into the substrate network, are summarized. Furthermore, the future research trends are drawn. The main distinctive aspects of this survey with early ones include that it is mainly contributed to simplify the VNE problem on large networks, and that more recent publications in this field are introduced. In addition, the suggestions to the future investigation will concern some new terms of the VNE optimization.
Chenggui ZHAO
Yunnan University of Finance and Economics
Zhaobin PU
Yunnan University of Finance and Economics
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Chenggui ZHAO, Zhaobin PU, "Recent Advances and Trends in Virtual Network Embedding" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 6, pp. 1265-1274, June 2016, doi: 10.1587/transcom.2015EUP0001.
Abstract: Network virtualization (NV) provides a promising solution to overcome the resistance of the current Internet in aspects of architecture change, and virtual network embedding (VNE) has been recognized as a core component in NV. In this paper, the current advances in exploring model, methods and technologies for embedding the virtual network into the substrate network, are summarized. Furthermore, the future research trends are drawn. The main distinctive aspects of this survey with early ones include that it is mainly contributed to simplify the VNE problem on large networks, and that more recent publications in this field are introduced. In addition, the suggestions to the future investigation will concern some new terms of the VNE optimization.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2015EUP0001/_p
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@ARTICLE{e99-b_6_1265,
author={Chenggui ZHAO, Zhaobin PU, },
journal={IEICE TRANSACTIONS on Communications},
title={Recent Advances and Trends in Virtual Network Embedding},
year={2016},
volume={E99-B},
number={6},
pages={1265-1274},
abstract={Network virtualization (NV) provides a promising solution to overcome the resistance of the current Internet in aspects of architecture change, and virtual network embedding (VNE) has been recognized as a core component in NV. In this paper, the current advances in exploring model, methods and technologies for embedding the virtual network into the substrate network, are summarized. Furthermore, the future research trends are drawn. The main distinctive aspects of this survey with early ones include that it is mainly contributed to simplify the VNE problem on large networks, and that more recent publications in this field are introduced. In addition, the suggestions to the future investigation will concern some new terms of the VNE optimization.},
keywords={},
doi={10.1587/transcom.2015EUP0001},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - Recent Advances and Trends in Virtual Network Embedding
T2 - IEICE TRANSACTIONS on Communications
SP - 1265
EP - 1274
AU - Chenggui ZHAO
AU - Zhaobin PU
PY - 2016
DO - 10.1587/transcom.2015EUP0001
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2016
AB - Network virtualization (NV) provides a promising solution to overcome the resistance of the current Internet in aspects of architecture change, and virtual network embedding (VNE) has been recognized as a core component in NV. In this paper, the current advances in exploring model, methods and technologies for embedding the virtual network into the substrate network, are summarized. Furthermore, the future research trends are drawn. The main distinctive aspects of this survey with early ones include that it is mainly contributed to simplify the VNE problem on large networks, and that more recent publications in this field are introduced. In addition, the suggestions to the future investigation will concern some new terms of the VNE optimization.
ER -