Dynamic Service Chain Construction Based on Model Predictive Control in NFV Environments

Masaya KUMAZAKI; Masaki OGURA; Takuji TACHIBANA

doi:10.1587/transcom.2021WWP0008

Dynamic Service Chain Construction Based on Model Predictive Control in NFV Environments

Masaya KUMAZAKI, Masaki OGURA, Takuji TACHIBANA

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For beyond 5G era, in network function virtualization (NFV) environments, service chaining can be utilized to provide the flexible network infrastructures needed to support the creation of various application services. In this paper, we propose a dynamic service chain construction based on model predictive control (MPC) to utilize network resources. In the proposed method, the number of data packets in the buffer at each node is modeled as a dynamical system for MPC. Then, we formulate an optimization problem with the predicted amount of traffic injecting into each service chain from users for the dynamical system. In the optimization problem, the transmission route of each service chain, the node where each VNF is placed, and the amount of resources for each VNF are determined simultaneously by using MPC so that the amount of resources allocated to VNFs and the number of VNF migrations are minimized. In addition, the performance of data transmission is also controlled by considering the maximum amount of data packets stored in buffers. The performance of the proposed method is evaluated by simulation, and the effectiveness of the proposed method with different parameter values is investigated.

Publication: IEICE TRANSACTIONS on Communications Vol.E105-B No.4 pp.399-410

Publication Date: 2022/04/01

Publicized: 2021/10/15

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2021WWP0008

Type of Manuscript: Special Section PAPER (Special Section on Wired-and-Wireless Network System Technologies in Beyond 5G Era)

Category: Network Virtualization

Authors

Masaya KUMAZAKI
  University of Fukui
Masaki OGURA
  Osaka University
Takuji TACHIBANA
  University of Fukui

Keyword

network function virtualization, service chaining, VNF, model predictive control, optimization problem

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Masaya KUMAZAKI, Masaki OGURA, Takuji TACHIBANA, "Dynamic Service Chain Construction Based on Model Predictive Control in NFV Environments" in IEICE TRANSACTIONS on Communications, vol. E105-B, no. 4, pp. 399-410, April 2022, doi: 10.1587/transcom.2021WWP0008.
Abstract: For beyond 5G era, in network function virtualization (NFV) environments, service chaining can be utilized to provide the flexible network infrastructures needed to support the creation of various application services. In this paper, we propose a dynamic service chain construction based on model predictive control (MPC) to utilize network resources. In the proposed method, the number of data packets in the buffer at each node is modeled as a dynamical system for MPC. Then, we formulate an optimization problem with the predicted amount of traffic injecting into each service chain from users for the dynamical system. In the optimization problem, the transmission route of each service chain, the node where each VNF is placed, and the amount of resources for each VNF are determined simultaneously by using MPC so that the amount of resources allocated to VNFs and the number of VNF migrations are minimized. In addition, the performance of data transmission is also controlled by considering the maximum amount of data packets stored in buffers. The performance of the proposed method is evaluated by simulation, and the effectiveness of the proposed method with different parameter values is investigated.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021WWP0008/_p

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@ARTICLE{e105-b_4_399,
author={Masaya KUMAZAKI, Masaki OGURA, Takuji TACHIBANA, },
journal={IEICE TRANSACTIONS on Communications},
title={Dynamic Service Chain Construction Based on Model Predictive Control in NFV Environments},
year={2022},
volume={E105-B},
number={4},
pages={399-410},
abstract={For beyond 5G era, in network function virtualization (NFV) environments, service chaining can be utilized to provide the flexible network infrastructures needed to support the creation of various application services. In this paper, we propose a dynamic service chain construction based on model predictive control (MPC) to utilize network resources. In the proposed method, the number of data packets in the buffer at each node is modeled as a dynamical system for MPC. Then, we formulate an optimization problem with the predicted amount of traffic injecting into each service chain from users for the dynamical system. In the optimization problem, the transmission route of each service chain, the node where each VNF is placed, and the amount of resources for each VNF are determined simultaneously by using MPC so that the amount of resources allocated to VNFs and the number of VNF migrations are minimized. In addition, the performance of data transmission is also controlled by considering the maximum amount of data packets stored in buffers. The performance of the proposed method is evaluated by simulation, and the effectiveness of the proposed method with different parameter values is investigated.},
keywords={},
doi={10.1587/transcom.2021WWP0008},
ISSN={1745-1345},
month={April},}

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TY - JOUR
TI - Dynamic Service Chain Construction Based on Model Predictive Control in NFV Environments
T2 - IEICE TRANSACTIONS on Communications
SP - 399
EP - 410
AU - Masaya KUMAZAKI
AU - Masaki OGURA
AU - Takuji TACHIBANA
PY - 2022
DO - 10.1587/transcom.2021WWP0008
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2022
AB - For beyond 5G era, in network function virtualization (NFV) environments, service chaining can be utilized to provide the flexible network infrastructures needed to support the creation of various application services. In this paper, we propose a dynamic service chain construction based on model predictive control (MPC) to utilize network resources. In the proposed method, the number of data packets in the buffer at each node is modeled as a dynamical system for MPC. Then, we formulate an optimization problem with the predicted amount of traffic injecting into each service chain from users for the dynamical system. In the optimization problem, the transmission route of each service chain, the node where each VNF is placed, and the amount of resources for each VNF are determined simultaneously by using MPC so that the amount of resources allocated to VNFs and the number of VNF migrations are minimized. In addition, the performance of data transmission is also controlled by considering the maximum amount of data packets stored in buffers. The performance of the proposed method is evaluated by simulation, and the effectiveness of the proposed method with different parameter values is investigated.
ER -