IEICE TRANSACTIONS on Communications
Dynamic Service Chain Construction Based on Model Predictive Control in NFV Environments
Summary :
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
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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},}
Copy
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 -
English
