Model predictive control for automated network assurance in intent-based networking enabled service function chains

Marios Avgeris; Aris Leivadeas; Nikolaos Athanasopoulos; Ioannis Lambadaris; Matthias Falkner

doi:10.1109/NOMS56928.2023.10154316

Model predictive control for automated network assurance in intent-based networking enabled service function chains

Marios Avgeris, Aris Leivadeas, Nikolaos Athanasopoulos, Ioannis Lambadaris, Matthias Falkner

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

Recent trends in Network Function Virtualization (NFV) combined with Internet of Things (IoT) and 5G applications have reshaped the network service offering. In particular, Service Function Chains (SFCs) can associate network functions with physical and virtual resources towards providing a complete network service. Concurrently, the management of a continuously expanding network and the fulfillment of the applications’ requirements pave the way for autonomic network solutions. Intent Based Networking (IBN) is a novel paradigm that aims to achieve the automatic orchestration of network services and the assurance of their performance. Accordingly, in this paper, we propose a novel automated network assurance model, based on Model Predictive Control, to guarantee the Quality of Service (QoS) and security requirements of multi-tenant and IBN-enabled SFCs. In this context, corrective decisions are proactively taken, in the form of incoming intent relocations among the SFCs. The results reveal that our model can assure with high probability the application requirements and minimize QoS violations.

Original language	English
Title of host publication	36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023): Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	7
ISBN (Electronic)	9781665477161
ISBN (Print)	9781665477178
DOIs	https://doi.org/10.1109/NOMS56928.2023.10154316
Publication status	Published - 21 Jun 2023
Event	36th IEEE/IFIP Network Operations and Management Symposium - Miami, United States Duration: 08 May 2023 → 12 May 2023 https://noms2023.ieee-noms.org/

Publication series

Name	IEEE/IFIP Network Operations and Management Symposium: Proceedings
ISSN (Print)	1542-1201
ISSN (Electronic)	2374-9709

Conference

Conference	36th IEEE/IFIP Network Operations and Management Symposium
Abbreviated title	NOMS
Country/Territory	United States
City	Miami
Period	08/05/2023 → 12/05/2023
Internet address	https://noms2023.ieee-noms.org/

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10.1109/NOMS56928.2023.10154316Licence: Unspecified

Cite this

Avgeris, M., Leivadeas, A., Athanasopoulos, N., Lambadaris, I., & Falkner, M. (2023). Model predictive control for automated network assurance in intent-based networking enabled service function chains. In 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023): Proceedings (IEEE/IFIP Network Operations and Management Symposium: Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NOMS56928.2023.10154316

Avgeris, Marios ; Leivadeas, Aris ; Athanasopoulos, Nikolaos et al. / Model predictive control for automated network assurance in intent-based networking enabled service function chains. 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE/IFIP Network Operations and Management Symposium: Proceedings).

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abstract = "Recent trends in Network Function Virtualization (NFV) combined with Internet of Things (IoT) and 5G applications have reshaped the network service offering. In particular, Service Function Chains (SFCs) can associate network functions with physical and virtual resources towards providing a complete network service. Concurrently, the management of a continuously expanding network and the fulfillment of the applications{\textquoteright} requirements pave the way for autonomic network solutions. Intent Based Networking (IBN) is a novel paradigm that aims to achieve the automatic orchestration of network services and the assurance of their performance. Accordingly, in this paper, we propose a novel automated network assurance model, based on Model Predictive Control, to guarantee the Quality of Service (QoS) and security requirements of multi-tenant and IBN-enabled SFCs. In this context, corrective decisions are proactively taken, in the form of incoming intent relocations among the SFCs. The results reveal that our model can assure with high probability the application requirements and minimize QoS violations.",

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year = "2023",

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booktitle = "36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023): Proceedings",

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Avgeris, M, Leivadeas, A, Athanasopoulos, N, Lambadaris, I & Falkner, M 2023, Model predictive control for automated network assurance in intent-based networking enabled service function chains. in 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023): Proceedings. IEEE/IFIP Network Operations and Management Symposium: Proceedings, Institute of Electrical and Electronics Engineers Inc., 36th IEEE/IFIP Network Operations and Management Symposium, Miami, Florida, United States, 08/05/2023. https://doi.org/10.1109/NOMS56928.2023.10154316

Model predictive control for automated network assurance in intent-based networking enabled service function chains. / Avgeris, Marios; Leivadeas, Aris; Athanasopoulos, Nikolaos et al.
36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE/IFIP Network Operations and Management Symposium: Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Model predictive control for automated network assurance in intent-based networking enabled service function chains

AU - Avgeris, Marios

AU - Leivadeas, Aris

AU - Athanasopoulos, Nikolaos

AU - Lambadaris, Ioannis

AU - Falkner, Matthias

PY - 2023/6/21

Y1 - 2023/6/21

N2 - Recent trends in Network Function Virtualization (NFV) combined with Internet of Things (IoT) and 5G applications have reshaped the network service offering. In particular, Service Function Chains (SFCs) can associate network functions with physical and virtual resources towards providing a complete network service. Concurrently, the management of a continuously expanding network and the fulfillment of the applications’ requirements pave the way for autonomic network solutions. Intent Based Networking (IBN) is a novel paradigm that aims to achieve the automatic orchestration of network services and the assurance of their performance. Accordingly, in this paper, we propose a novel automated network assurance model, based on Model Predictive Control, to guarantee the Quality of Service (QoS) and security requirements of multi-tenant and IBN-enabled SFCs. In this context, corrective decisions are proactively taken, in the form of incoming intent relocations among the SFCs. The results reveal that our model can assure with high probability the application requirements and minimize QoS violations.

AB - Recent trends in Network Function Virtualization (NFV) combined with Internet of Things (IoT) and 5G applications have reshaped the network service offering. In particular, Service Function Chains (SFCs) can associate network functions with physical and virtual resources towards providing a complete network service. Concurrently, the management of a continuously expanding network and the fulfillment of the applications’ requirements pave the way for autonomic network solutions. Intent Based Networking (IBN) is a novel paradigm that aims to achieve the automatic orchestration of network services and the assurance of their performance. Accordingly, in this paper, we propose a novel automated network assurance model, based on Model Predictive Control, to guarantee the Quality of Service (QoS) and security requirements of multi-tenant and IBN-enabled SFCs. In this context, corrective decisions are proactively taken, in the form of incoming intent relocations among the SFCs. The results reveal that our model can assure with high probability the application requirements and minimize QoS violations.

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DO - 10.1109/NOMS56928.2023.10154316

M3 - Conference contribution

SN - 9781665477178

T3 - IEEE/IFIP Network Operations and Management Symposium: Proceedings

BT - 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023): Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 36th IEEE/IFIP Network Operations and Management Symposium

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Avgeris M, Leivadeas A, Athanasopoulos N, Lambadaris I, Falkner M. Model predictive control for automated network assurance in intent-based networking enabled service function chains. In 36th IEEE/IFIP Network Operations and Management Symposium (NOMS 2023): Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (IEEE/IFIP Network Operations and Management Symposium: Proceedings). doi: 10.1109/NOMS56928.2023.10154316

Model predictive control for automated network assurance in intent-based networking enabled service function chains

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