Sdn-based network slicing mechanism for a scalable 4g/5g core network: A kubernetes approach

Robert Botez; Jose Costa-Requena; Iustin-Alexandru Ivanciu; Vlad Strautiu; Virgil Dobrota

doi:10.3390/s21113773

Sdn-based network slicing mechanism for a scalable 4g/5g core network: A kubernetes approach

Robert Botez^*, Jose Costa-Requena, Iustin-Alexandru Ivanciu, Vlad Strautiu, Virgil Dobrota

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

7 Sitaatiot (Scopus)

42 Lataukset (Pure)

Abstrakti

Managing the large volumes of IoT and M2M traffic requires the evaluation of the scala-bility and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedi-cated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.

Alkuperäiskieli	Englanti
Artikkeli	3773
Sivumäärä	26
Julkaisu	Sensors
Vuosikerta	21
Numero	11
DOI - pysyväislinkit	https://doi.org/10.3390/s21113773
Tila	Julkaistu - 29 toukok. 2021
OKM-julkaisutyyppi	A1 Julkaistu artikkeli, soviteltu

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10.3390/s21113773Lisenssi: CC BY

ELEC_Botez_etal_SDN-Based_Network_Slicing_Mechanism_Sensors_2021_finalpublishedversionFinal published version, 33,1 MBLisenssi: CC BY

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2 Päättynyt

5G-FORCE: 5G-FORCE
Costa Requena, J.
01/01/2019 → 31/03/2021
Projekti: Business Finland: Other research funding
Adaptiivinen ambientin signaalin takaisinsirontaan perustuva tietoliikenne erittäin matalatehoisille järjestelmille
Menta, E., Jäntti, R., Ruttik, K., Badihi Olyaei, B., Sheikh, M. & Wang, X.
01/09/2018 → 31/08/2021
Projekti: Academy of Finland: Other research funding

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title = "Sdn-based network slicing mechanism for a scalable 4g/5g core network: A kubernetes approach",

abstract = "Managing the large volumes of IoT and M2M traffic requires the evaluation of the scala-bility and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedi-cated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.",

keywords = "5G, Cloud computing, EPC, IoT, Kubernetes, Network slicing, NFV, SDN",

author = "Robert Botez and Jose Costa-Requena and Iustin-Alexandru Ivanciu and Vlad Strautiu and Virgil Dobrota",

note = "Funding Information: Acknowledgments: This work was supported in part by the Business Finland under the project 5G Finnish Open Research Collaboration Ecosystem (5G-FORCE) and Academy of Finland under Project No. 319003. This work has been performed in the framework of the H2020 project 5G-SMART, co-funded by the EU. The authors would like to acknowledge the contributions of their colleagues. This information reflects the consortium{\textquoteright}s view, but the consortium is not liable for any use that may be made of any of the information contained therein. Funding Information: This work was supported in part by the Business Finland under the project 5G Finnish Open Re-search Collaboration Ecosystem (5G-FORCE) and Academy of Finland under Project No. 319003. This work has been performed in the framework of the H2020 project 5G-SMART, co-funded by the EU. Funding Information: Funding: This work was supported in part by the Business Finland under the project 5G Finnish Open Re-search Collaboration Ecosystem (5G-FORCE) and Academy of Finland under Project No. 319003. This work has been performed in the framework of the H2020 project 5G-SMART, co-funded by the EU. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = may,

day = "29",

doi = "10.3390/s21113773",

language = "English",

volume = "21",

journal = "Sensors",

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publisher = "MDPI AG",

number = "11",

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T2 - A kubernetes approach

AU - Botez, Robert

AU - Costa-Requena, Jose

AU - Ivanciu, Iustin-Alexandru

AU - Strautiu, Vlad

AU - Dobrota, Virgil

N1 - Funding Information: Acknowledgments: This work was supported in part by the Business Finland under the project 5G Finnish Open Research Collaboration Ecosystem (5G-FORCE) and Academy of Finland under Project No. 319003. This work has been performed in the framework of the H2020 project 5G-SMART, co-funded by the EU. The authors would like to acknowledge the contributions of their colleagues. This information reflects the consortium’s view, but the consortium is not liable for any use that may be made of any of the information contained therein. Funding Information: This work was supported in part by the Business Finland under the project 5G Finnish Open Re-search Collaboration Ecosystem (5G-FORCE) and Academy of Finland under Project No. 319003. This work has been performed in the framework of the H2020 project 5G-SMART, co-funded by the EU. Funding Information: Funding: This work was supported in part by the Business Finland under the project 5G Finnish Open Re-search Collaboration Ecosystem (5G-FORCE) and Academy of Finland under Project No. 319003. This work has been performed in the framework of the H2020 project 5G-SMART, co-funded by the EU. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/5/29

Y1 - 2021/5/29

N2 - Managing the large volumes of IoT and M2M traffic requires the evaluation of the scala-bility and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedi-cated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.

AB - Managing the large volumes of IoT and M2M traffic requires the evaluation of the scala-bility and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedi-cated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.

KW - 5G

KW - Cloud computing

KW - EPC

KW - IoT

KW - Kubernetes

KW - Network slicing

KW - NFV

KW - SDN

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DO - 10.3390/s21113773

M3 - Article

AN - SCOPUS:85106739884

VL - 21

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 11

M1 - 3773

ER -

Sdn-based network slicing mechanism for a scalable 4g/5g core network: A kubernetes approach

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5G-FORCE: 5G-FORCE

Adaptiivinen ambientin signaalin takaisinsirontaan perustuva tietoliikenne erittäin matalatehoisille järjestelmille

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