IEICE TRANSACTIONS on Information
DVNR: A Distributed Method for Virtual Network Recovery
Summary :
How to restore virtual network against substrate network failure (e.g. link cut) is one of the key challenges of network virtualization. The traditional virtual network recovery (VNR) methods are mostly based on the idea of centralized control. However, if multiple virtual networks fail at the same time, their recovery processes are usually queued according to a specific priority, which may increase the average waiting time of users. In this letter, we study distributed virtual network recovery (DVNR) method to improve the virtual network recovery efficiency. We establish exclusive virtual machine (VM) for each virtual network and process recovery requests of multiple virtual networks in parallel. Simulation results show that the proposed DVNR method can obtain recovery success rate closely to centralized VNR method while yield ~70% less average recovery time.
- Publication
- IEICE TRANSACTIONS on Information Vol.E103-D No.12 pp.2713-2716
- Publication Date
- 2020/12/01
- Publicized
- 2020/08/26
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020EDL8050
- Type of Manuscript
- LETTER
- Category
- Information Network
Authors
Guangyuan LIU
Shijiazhuang Tiedao University
Daokun CHEN
Institute of Software Chinese Academy of Sciences
Keyword
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Guangyuan LIU, Daokun CHEN, "DVNR: A Distributed Method for Virtual Network Recovery" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 12, pp. 2713-2716, December 2020, doi: 10.1587/transinf.2020EDL8050.
Abstract: How to restore virtual network against substrate network failure (e.g. link cut) is one of the key challenges of network virtualization. The traditional virtual network recovery (VNR) methods are mostly based on the idea of centralized control. However, if multiple virtual networks fail at the same time, their recovery processes are usually queued according to a specific priority, which may increase the average waiting time of users. In this letter, we study distributed virtual network recovery (DVNR) method to improve the virtual network recovery efficiency. We establish exclusive virtual machine (VM) for each virtual network and process recovery requests of multiple virtual networks in parallel. Simulation results show that the proposed DVNR method can obtain recovery success rate closely to centralized VNR method while yield ~70% less average recovery time.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDL8050/_p
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@ARTICLE{e103-d_12_2713,
author={Guangyuan LIU, Daokun CHEN, },
journal={IEICE TRANSACTIONS on Information},
title={DVNR: A Distributed Method for Virtual Network Recovery},
year={2020},
volume={E103-D},
number={12},
pages={2713-2716},
abstract={How to restore virtual network against substrate network failure (e.g. link cut) is one of the key challenges of network virtualization. The traditional virtual network recovery (VNR) methods are mostly based on the idea of centralized control. However, if multiple virtual networks fail at the same time, their recovery processes are usually queued according to a specific priority, which may increase the average waiting time of users. In this letter, we study distributed virtual network recovery (DVNR) method to improve the virtual network recovery efficiency. We establish exclusive virtual machine (VM) for each virtual network and process recovery requests of multiple virtual networks in parallel. Simulation results show that the proposed DVNR method can obtain recovery success rate closely to centralized VNR method while yield ~70% less average recovery time.},
keywords={},
doi={10.1587/transinf.2020EDL8050},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - DVNR: A Distributed Method for Virtual Network Recovery
T2 - IEICE TRANSACTIONS on Information
SP - 2713
EP - 2716
AU - Guangyuan LIU
AU - Daokun CHEN
PY - 2020
DO - 10.1587/transinf.2020EDL8050
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2020
AB - How to restore virtual network against substrate network failure (e.g. link cut) is one of the key challenges of network virtualization. The traditional virtual network recovery (VNR) methods are mostly based on the idea of centralized control. However, if multiple virtual networks fail at the same time, their recovery processes are usually queued according to a specific priority, which may increase the average waiting time of users. In this letter, we study distributed virtual network recovery (DVNR) method to improve the virtual network recovery efficiency. We establish exclusive virtual machine (VM) for each virtual network and process recovery requests of multiple virtual networks in parallel. Simulation results show that the proposed DVNR method can obtain recovery success rate closely to centralized VNR method while yield ~70% less average recovery time.
ER -
English
