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Intent-based networking platform: an automated approach for policy and configuration of next-generation networks

Authors:

Talha Ahmed Khan,

Wang-Cheol SongAuthors Info & Claims

SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied Computing

Pages 1921 - 1930

https://doi.org/10.1145/3412841.3442064

Published: 22 April 2021 Publication History

Abstract

The goal of 5th generation networks is to provide network services to everything, i.e. moving beyond mobile devices. This extension of the network domain led to an exponential raise in the complexity in terms of architecture, infrastructure, and deployment. Due to the vast number of new applications, each having a specific set of requirements, requiring proficient experts incorporating manual multi-level and domain specific operations for the design deployment and orchestration of networks. Due to the complexity and specificness of configurations the manual approaches are highly erroneous and uncertain. In addition, they don't confirm an optimal solution. Hence, this manuscript describes two possible solutions. The first is the automatic configuration for the deployment and management of the network using an intent-based networking application, while the second introduced a network-slicing scenario using a network slice selection procedure by enhancing existing Long-Term Evolution (LTE) network architecture. The M-CORD platform is used for the implementation of the network slicing scenario.

References

[1]

B. Blanco et al., "Technology pillars in the architecture of future 5G mobile networks: NFV, MEC and SDN," Comput. Stand. Interfaces, vol. 54, no. April 2016, pp. 216--228, 2017.

Digital Library

[2]

B. Sayadi and L. Royllet, Nokia Bell-Labs France "5G: Platform Not Protocol" IEEE Sofwarization, January 2018.

[3]

M-CORD, "M-CORD as an Open Reference Solution for 5G Enablement."

[4]

White Paper, "Central Office Re-architected as a Datacenter (CORD)" March 14, 2016

[5]

L. Peterson et al., "XOS: An Extensible Cloud Operating System," ACM BigSystems 2015, June 2015.

Digital Library

[6]

OpenAirInterface Project [online], Available: https://gitlab.eurecom.fr/oai/openairinterface5g/wikis/home (Accessed: 5 June, 2019)

[7]

OpenAirInterface public license v1.1 [online], Available:https://www.openairinterface.org/?page_id=698 (Accessed: 5 June, 2020)

[8]

OpenAirInterface System Emulation[online], Available: https://gitlab.eurecom.fr/oai/openairinterface5g/wikis/OpenAirLTEEmulation (Accessed: 5 June, 2020)

[9]

OpenAirInterfacefreeDiameter usage [online], Available:https://gitlab.eurecom.fr/oai/freediameter (Accessed: 9 June, 2020)

[10]

https://github.com/aweimeow/oai_scenario/oai_scenario in M-CORD (Accessed: 5 June, 2020)

[11]

2016.12.3GPP.TS23.799. Version14.0. Study on Architecture for Next Generation - Chapter 6.1.1.1

[12]

3GPP TS 23.214 V14.5.0 (2017-12), " Technical Specification Group Services and System Aspects; Architecture enhancements for control and user plane separation of EPC nodes"; Stage 2, Release 14, Dec. 2017.

[13]

3GPP TS 28.530 V0.3.0 (2017-11), "Technical Specification Group Services and System Aspects; Telecommunication management; Management of network slicing in mobile networks; Concepts, use cases and requirements"; Release 15, Nov. 20.

[14]

White Paper, "View on 5G Architecture" 5GPPP Architecture Working Group.

[15]

https://docs.openstack.org/horizon/latest/admin/manageflavors.html (Accessed: 5 Jan 2019).

[16]

Kentis, A. M., OlloraZaballa, E., & Soler, J. (2018), "Policy Framework for the Next Generation Platform as a Service," In Proceedings of 27th European Conference on Networks and Communications (pp. 125--9), IEEE.

[17]

J. Diaz Ravera, T. Ahmed Khan, A, Mehmood & Wang-Cheol S. (2018), "Network Slice Selection Function on M-CORD," KNOM Review '18-02 Vol.21 No.02.

[18]

"The EUROPEAN 5G ANNUAL JOURNAL/2018", 5GPPP, Grant Agreement No.: 761338.

[19]

OASIS Standards, TOSCA Simple Profile in YAML Version 1.1, Link: http://docs.oasis-open.org/tosca/TOSCA-Simple-Profile-YAML/v1.1/csprd02/TOSCA-Simple-Profile-YAML-v1.1-csprd02.html (Accessed: 5 Jan 2019).

[20]

Solution Briefs "Radisys M-CORD: The Open Platform for Emerging 5G Applications" https://hub.radisys.com/solution-briefs/sb-mcordopenplatform (Accessed: 5 sep, 2020).

[21]

Radysis Demo at MWC: Link: https://www.youtube.com/watch?v=9zLdOZWM7kY&list=PLMzAgx0f_8fGkVtJPH6mDqQggobqigiwB&index=4 (Accessed: 5 sep, 2020).

[22]

Fred Aklamanu, Sabine Randriamasy, Eric Renault, Imran Latif, Abdelkrim Hebbar, Alberto Conte, Bilal Al Jamal, Warda Hamdaoui. "Demo: Intent-Based 5G IoT Application Slice Energy Monitoring". IFIP Networking 2018. Zurich, Switzerland: May 2018.

Cited By

Mwangi ASahay RFumagalli EGryning MGibescu M(2024)Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service ManagementEnergies10.3390/en1712289717:12(2897)Online publication date: 13-Jun-2024
https://doi.org/10.3390/en17122897
Leivadeas AFalkner M(2023)A Survey on Intent-Based NetworkingIEEE Communications Surveys & Tutorials10.1109/COMST.2022.321591925:1(625-655)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/COMST.2022.3215919
Morabito RTatipamula MTarkoma SChiang M(2023)Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)10.1109/CAMAD59638.2023.10478416(225-232)Online publication date: 6-Nov-2023
https://doi.org/10.1109/CAMAD59638.2023.10478416
Show More Cited By

Intent-based networking platform: an automated approach for policy and configuration of next-generation networks
1. Networks
  1. Network services
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Published In

cover image ACM Conferences

SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied Computing

March 2021

2075 pages

ISBN:9781450381048

DOI:10.1145/3412841

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University
,
Jiman Hong
Soongsil University, South Korea
,
Program Chairs:
Alessio Bechini
University of Pisa, Italy
,
Eunjee Song
Baylor University

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 April 2021

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National Research Foundation of Korea

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SAC '21

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SIGAPP

SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing

March 22 - 26, 2021

Virtual Event, Republic of Korea

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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SAC '25

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The 40th ACM/SIGAPP Symposium on Applied Computing

March 31 - April 4, 2025

Catania , Italy

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Cited By

Mwangi ASahay RFumagalli EGryning MGibescu M(2024)Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service ManagementEnergies10.3390/en1712289717:12(2897)Online publication date: 13-Jun-2024
https://doi.org/10.3390/en17122897
Leivadeas AFalkner M(2023)A Survey on Intent-Based NetworkingIEEE Communications Surveys & Tutorials10.1109/COMST.2022.321591925:1(625-655)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/COMST.2022.3215919
Morabito RTatipamula MTarkoma SChiang M(2023)Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)10.1109/CAMAD59638.2023.10478416(225-232)Online publication date: 6-Nov-2023
https://doi.org/10.1109/CAMAD59638.2023.10478416
RAJ DShaik THirwe ATammana PKataoka K(2023)Building a Digital Twin Network of SDN Using Knowledge GraphsIEEE Access10.1109/ACCESS.2023.328881311(63092-63106)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3288813
Mcnamara JCamps-Mur DGoodarzi MFrank HChinchilla-Romero LCañellas FFernández-Fernández AYan S(2023)NLP Powered Intent Based Network Management for Private 5G NetworksIEEE Access10.1109/ACCESS.2023.326589411(36642-36657)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3265894
Karrakchou OSamaan NKarmouch A(2022)Mapping Applications Intents to Programmable NDN Data-Planes via Event-B MachinesIEEE Access10.1109/ACCESS.2022.315875310(29668-29686)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3158753

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