Deployment and Reconfiguration for Balanced 5G Core Network Slices

Xin LU; Xiang WANG; Lin PANG; Jiayi LIU; Qinghai YANG; Xingchen SONG

doi:10.1587/transfun.2021EAP1011

IEICE TRANSACTIONS on Fundamentals

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Deployment and Reconfiguration for Balanced 5G Core Network Slices

Xin LU, Xiang WANG, Lin PANG, Jiayi LIU, Qinghai YANG, Xingchen SONG

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Network Slicing (NS) is recognized as a key technology for the 5G network in providing tailored network services towards various types of verticals over a shared physical infrastructure. It offers the flexibility of on-demand provisioning of diverse services based on tenants' requirements in a dynamic environment. In this work, we focus on two important issues related to 5G Core slices: the deployment and the reconfiguration of 5G Core NSs. Firstly, for slice deployment, balancing the workloads of the underlying network is beneficial in mitigating resource fragmentation for accommodating the future unknown network slice requests. In this vein, we formulate a load-balancing oriented 5G Core NS deployment problem through an Integer Linear Program (ILP) formulation. Further, for slice reconfiguration, we propose a reactive strategy to accommodate a rejected NS request by reorganizing the already-deployed NSs. Typically, the NS deployment algorithm is reutilized with slacked physical resources to find out the congested part of the network, due to which the NS is rejected. Then, these congested physical nodes and links are reconfigured by migrating virtual network functions and virtual links, to re-balance the utilization of the whole physical network. To evaluate the performance of deployment and reconfiguration algorithms we proposed, extensive simulations have been conducted. The results show that our deployment algorithm performs better in resource balancing, hence achieves higher acceptance ratio by comparing to existing works. Moreover, our reconfiguration algorithm improves resource utilization by accommodating more NSs in a dynamic environment.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E104-A No.11 pp.1629-1643

Publication Date: 2021/11/01

Publicized: 2021/05/21

Online ISSN: 1745-1337

DOI: 10.1587/transfun.2021EAP1011

Type of Manuscript: PAPER

Category: Mobile Information Network and Personal Communications

Authors

Xin LU
  Shenzhen Guodian Technology Communication Co., Ltd.
Xiang WANG
  Shenzhen Guodian Technology Communication Co., Ltd.
Lin PANG
  Shenzhen Guodian Technology Communication Co., Ltd.
Jiayi LIU
  Xidian University
Qinghai YANG
  Xidian University
Xingchen SONG
  Xidian University

Keyword

5G network slicing, 5G core slices, load balancing, slice deployment, slice reconfiguration

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Xin LU, Xiang WANG, Lin PANG, Jiayi LIU, Qinghai YANG, Xingchen SONG, "Deployment and Reconfiguration for Balanced 5G Core Network Slices" in IEICE TRANSACTIONS on Fundamentals, vol. E104-A, no. 11, pp. 1629-1643, November 2021, doi: 10.1587/transfun.2021EAP1011.
Abstract: Network Slicing (NS) is recognized as a key technology for the 5G network in providing tailored network services towards various types of verticals over a shared physical infrastructure. It offers the flexibility of on-demand provisioning of diverse services based on tenants' requirements in a dynamic environment. In this work, we focus on two important issues related to 5G Core slices: the deployment and the reconfiguration of 5G Core NSs. Firstly, for slice deployment, balancing the workloads of the underlying network is beneficial in mitigating resource fragmentation for accommodating the future unknown network slice requests. In this vein, we formulate a load-balancing oriented 5G Core NS deployment problem through an Integer Linear Program (ILP) formulation. Further, for slice reconfiguration, we propose a reactive strategy to accommodate a rejected NS request by reorganizing the already-deployed NSs. Typically, the NS deployment algorithm is reutilized with slacked physical resources to find out the congested part of the network, due to which the NS is rejected. Then, these congested physical nodes and links are reconfigured by migrating virtual network functions and virtual links, to re-balance the utilization of the whole physical network. To evaluate the performance of deployment and reconfiguration algorithms we proposed, extensive simulations have been conducted. The results show that our deployment algorithm performs better in resource balancing, hence achieves higher acceptance ratio by comparing to existing works. Moreover, our reconfiguration algorithm improves resource utilization by accommodating more NSs in a dynamic environment.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAP1011/_p

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@ARTICLE{e104-a_11_1629,
author={Xin LU, Xiang WANG, Lin PANG, Jiayi LIU, Qinghai YANG, Xingchen SONG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Deployment and Reconfiguration for Balanced 5G Core Network Slices},
year={2021},
volume={E104-A},
number={11},
pages={1629-1643},
abstract={Network Slicing (NS) is recognized as a key technology for the 5G network in providing tailored network services towards various types of verticals over a shared physical infrastructure. It offers the flexibility of on-demand provisioning of diverse services based on tenants' requirements in a dynamic environment. In this work, we focus on two important issues related to 5G Core slices: the deployment and the reconfiguration of 5G Core NSs. Firstly, for slice deployment, balancing the workloads of the underlying network is beneficial in mitigating resource fragmentation for accommodating the future unknown network slice requests. In this vein, we formulate a load-balancing oriented 5G Core NS deployment problem through an Integer Linear Program (ILP) formulation. Further, for slice reconfiguration, we propose a reactive strategy to accommodate a rejected NS request by reorganizing the already-deployed NSs. Typically, the NS deployment algorithm is reutilized with slacked physical resources to find out the congested part of the network, due to which the NS is rejected. Then, these congested physical nodes and links are reconfigured by migrating virtual network functions and virtual links, to re-balance the utilization of the whole physical network. To evaluate the performance of deployment and reconfiguration algorithms we proposed, extensive simulations have been conducted. The results show that our deployment algorithm performs better in resource balancing, hence achieves higher acceptance ratio by comparing to existing works. Moreover, our reconfiguration algorithm improves resource utilization by accommodating more NSs in a dynamic environment.},
keywords={},
doi={10.1587/transfun.2021EAP1011},
ISSN={1745-1337},
month={November},}

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TY - JOUR
TI - Deployment and Reconfiguration for Balanced 5G Core Network Slices
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1629
EP - 1643
AU - Xin LU
AU - Xiang WANG
AU - Lin PANG
AU - Jiayi LIU
AU - Qinghai YANG
AU - Xingchen SONG
PY - 2021
DO - 10.1587/transfun.2021EAP1011
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2021
AB - Network Slicing (NS) is recognized as a key technology for the 5G network in providing tailored network services towards various types of verticals over a shared physical infrastructure. It offers the flexibility of on-demand provisioning of diverse services based on tenants' requirements in a dynamic environment. In this work, we focus on two important issues related to 5G Core slices: the deployment and the reconfiguration of 5G Core NSs. Firstly, for slice deployment, balancing the workloads of the underlying network is beneficial in mitigating resource fragmentation for accommodating the future unknown network slice requests. In this vein, we formulate a load-balancing oriented 5G Core NS deployment problem through an Integer Linear Program (ILP) formulation. Further, for slice reconfiguration, we propose a reactive strategy to accommodate a rejected NS request by reorganizing the already-deployed NSs. Typically, the NS deployment algorithm is reutilized with slacked physical resources to find out the congested part of the network, due to which the NS is rejected. Then, these congested physical nodes and links are reconfigured by migrating virtual network functions and virtual links, to re-balance the utilization of the whole physical network. To evaluate the performance of deployment and reconfiguration algorithms we proposed, extensive simulations have been conducted. The results show that our deployment algorithm performs better in resource balancing, hence achieves higher acceptance ratio by comparing to existing works. Moreover, our reconfiguration algorithm improves resource utilization by accommodating more NSs in a dynamic environment.
ER -

IEICE TRANSACTIONS on Fundamentals