Reliability Enhancement for 5G End-to-End Network Slice Provisioning to Survive Physical Node Failures

Xiang WANG; Xin LU; Meiming FU; Jiayi LIU; Hongyan YANG

doi:10.1587/transcom.2021EBP3013

IEICE TRANSACTIONS on Communications

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Reliability Enhancement for 5G End-to-End Network Slice Provisioning to Survive Physical Node Failures

Xiang WANG, Xin LU, Meiming FU, Jiayi LIU, Hongyan YANG

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Summary :

Leveraging on Network Function Virtualization (NFV) and Software Defined Networking (SDN), network slicing (NS) is recognized as a key technology that enables the 5G Infrastructure Provider (InP) to support diversified vertical services over a shared common physical infrastructure. 5G end-to-end (E2E) NS is a logical virtual network that spans across the 5G network. Existing works on improving the reliability of the 5G mainly focus on reliable wireless communications, on the other hand, the reliability of an NS also refers to the ability of the NS system to provide continued service. Hence, in this work, we focus on enhancing the reliability of the NS to cope with physical network node failures, and we investigate the NS deployment problem to improve the reliability of the system represented by the NS. The reliability of an NS is enhanced by two means: firstly, by considering the topology information of an NS, critical virtual nodes are backed up to allow failure recovery; secondly, the embedding of the augmented NS virtual network is optimized for failure avoidance. We formulate the embedding of the augmented virtual network (AVN) to maximize the survivability of the NS system as the survivable AVN embedding (S-AVNE) problem through an Integer Linear Program (ILP) formulation. Due to the complexity of the problem, a heuristic algorithm is introduced. Finally, we conduct intensive simulations to evaluate the performance of our algorithm with regard to improving the reliability of the NS system.

Publication: IEICE TRANSACTIONS on Communications Vol.E104-B No.12 pp.1494-1505

Publication Date: 2021/12/01

Publicized: 2021/06/01

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2021EBP3013

Type of Manuscript: PAPER

Category: Fundamental Theories for Communications

Authors

Xiang WANG
  Shenzhen Guodian Technology Communication, Co., Ltd
Xin LU
  Shenzhen Guodian Technology Communication, Co., Ltd
Meiming FU
  Shenzhen Guodian Technology Communication, Co., Ltd
Jiayi LIU
  Xidian University
Hongyan YANG
  Xidian University

Keyword

5G, network slicing, E2E network slice, reliability, virtual network embedding

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Xiang WANG, Xin LU, Meiming FU, Jiayi LIU, Hongyan YANG, "Reliability Enhancement for 5G End-to-End Network Slice Provisioning to Survive Physical Node Failures" in IEICE TRANSACTIONS on Communications, vol. E104-B, no. 12, pp. 1494-1505, December 2021, doi: 10.1587/transcom.2021EBP3013.
Abstract: Leveraging on Network Function Virtualization (NFV) and Software Defined Networking (SDN), network slicing (NS) is recognized as a key technology that enables the 5G Infrastructure Provider (InP) to support diversified vertical services over a shared common physical infrastructure. 5G end-to-end (E2E) NS is a logical virtual network that spans across the 5G network. Existing works on improving the reliability of the 5G mainly focus on reliable wireless communications, on the other hand, the reliability of an NS also refers to the ability of the NS system to provide continued service. Hence, in this work, we focus on enhancing the reliability of the NS to cope with physical network node failures, and we investigate the NS deployment problem to improve the reliability of the system represented by the NS. The reliability of an NS is enhanced by two means: firstly, by considering the topology information of an NS, critical virtual nodes are backed up to allow failure recovery; secondly, the embedding of the augmented NS virtual network is optimized for failure avoidance. We formulate the embedding of the augmented virtual network (AVN) to maximize the survivability of the NS system as the survivable AVN embedding (S-AVNE) problem through an Integer Linear Program (ILP) formulation. Due to the complexity of the problem, a heuristic algorithm is introduced. Finally, we conduct intensive simulations to evaluate the performance of our algorithm with regard to improving the reliability of the NS system.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3013/_p

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@ARTICLE{e104-b_12_1494,
author={Xiang WANG, Xin LU, Meiming FU, Jiayi LIU, Hongyan YANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Reliability Enhancement for 5G End-to-End Network Slice Provisioning to Survive Physical Node Failures},
year={2021},
volume={E104-B},
number={12},
pages={1494-1505},
abstract={Leveraging on Network Function Virtualization (NFV) and Software Defined Networking (SDN), network slicing (NS) is recognized as a key technology that enables the 5G Infrastructure Provider (InP) to support diversified vertical services over a shared common physical infrastructure. 5G end-to-end (E2E) NS is a logical virtual network that spans across the 5G network. Existing works on improving the reliability of the 5G mainly focus on reliable wireless communications, on the other hand, the reliability of an NS also refers to the ability of the NS system to provide continued service. Hence, in this work, we focus on enhancing the reliability of the NS to cope with physical network node failures, and we investigate the NS deployment problem to improve the reliability of the system represented by the NS. The reliability of an NS is enhanced by two means: firstly, by considering the topology information of an NS, critical virtual nodes are backed up to allow failure recovery; secondly, the embedding of the augmented NS virtual network is optimized for failure avoidance. We formulate the embedding of the augmented virtual network (AVN) to maximize the survivability of the NS system as the survivable AVN embedding (S-AVNE) problem through an Integer Linear Program (ILP) formulation. Due to the complexity of the problem, a heuristic algorithm is introduced. Finally, we conduct intensive simulations to evaluate the performance of our algorithm with regard to improving the reliability of the NS system.},
keywords={},
doi={10.1587/transcom.2021EBP3013},
ISSN={1745-1345},
month={December},}

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TY - JOUR
TI - Reliability Enhancement for 5G End-to-End Network Slice Provisioning to Survive Physical Node Failures
T2 - IEICE TRANSACTIONS on Communications
SP - 1494
EP - 1505
AU - Xiang WANG
AU - Xin LU
AU - Meiming FU
AU - Jiayi LIU
AU - Hongyan YANG
PY - 2021
DO - 10.1587/transcom.2021EBP3013
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2021
AB - Leveraging on Network Function Virtualization (NFV) and Software Defined Networking (SDN), network slicing (NS) is recognized as a key technology that enables the 5G Infrastructure Provider (InP) to support diversified vertical services over a shared common physical infrastructure. 5G end-to-end (E2E) NS is a logical virtual network that spans across the 5G network. Existing works on improving the reliability of the 5G mainly focus on reliable wireless communications, on the other hand, the reliability of an NS also refers to the ability of the NS system to provide continued service. Hence, in this work, we focus on enhancing the reliability of the NS to cope with physical network node failures, and we investigate the NS deployment problem to improve the reliability of the system represented by the NS. The reliability of an NS is enhanced by two means: firstly, by considering the topology information of an NS, critical virtual nodes are backed up to allow failure recovery; secondly, the embedding of the augmented NS virtual network is optimized for failure avoidance. We formulate the embedding of the augmented virtual network (AVN) to maximize the survivability of the NS system as the survivable AVN embedding (S-AVNE) problem through an Integer Linear Program (ILP) formulation. Due to the complexity of the problem, a heuristic algorithm is introduced. Finally, we conduct intensive simulations to evaluate the performance of our algorithm with regard to improving the reliability of the NS system.
ER -

IEICE TRANSACTIONS on Communications