Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration
Thousands of devices are connected to the Internet as part of the Internet of Things (IoT) ecosystems. The next generation of IoT networks is expected to support this growing number of Intelligent IoT devices and tactile Internet solutions to provide real-time applications. In view of this, IoT netw...
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Format: | Article |
Language: | English |
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MDPI AG
2024-03-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/14/6/2300 |
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author | David Sarabia-Jácome Sergio Giménez-Antón Athanasios Liatifis Eduard Grasa Marisa Catalán Dimitrios Pliatsios |
author_facet | David Sarabia-Jácome Sergio Giménez-Antón Athanasios Liatifis Eduard Grasa Marisa Catalán Dimitrios Pliatsios |
author_sort | David Sarabia-Jácome |
collection | DOAJ |
description | Thousands of devices are connected to the Internet as part of the Internet of Things (IoT) ecosystems. The next generation of IoT networks is expected to support this growing number of Intelligent IoT devices and tactile Internet solutions to provide real-time applications. In view of this, IoT networks require innovative network architectures that offer scalability, security, and adaptability. The Recursive InterNetwork Architecture (RINA) is a clean slate network architecture that provides a scalable, secure, and flexible framework for interconnecting computers. SDN technology is becoming a de facto solution to overcome network requirements, making RINA adoption difficult. This paper presents an architecture for integrating RINA with SDN technologies to lower the barriers of adopting RINA in IoT environments. The architecture relies on a RINA-based distributed application facility (DAF), a RINA southbound driver (SBI), and the RINA L2VPN. The RINA-based DAF manages RINA nodes along the edge–fog–cloud continuum. The SBI driver SDN enables the hybrid centralized management of SDN switches and RINA nodes. Meanwhile, the RINA L2VPN allows seamless communication between edge nodes and the cloud to facilitate the data exchange between network functions (NFs). Such integration has enabled a progressive deployment of RINA in current IoT networks without affecting their operations and performance. |
first_indexed | 2024-04-24T18:35:22Z |
format | Article |
id | doaj.art-2f0b16862764440faee7b0d26138d6fc |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-04-24T18:35:22Z |
publishDate | 2024-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-2f0b16862764440faee7b0d26138d6fc2024-03-27T13:19:14ZengMDPI AGApplied Sciences2076-34172024-03-01146230010.3390/app14062300Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN IntegrationDavid Sarabia-Jácome0Sergio Giménez-Antón1Athanasios Liatifis2Eduard Grasa3Marisa Catalán4Dimitrios Pliatsios5IoT Research Group, Fundació i2CAT, 08034 Barcelona, SpainSoftware Networks Research Group, Fundació i2CAT, 08034 Barcelona, SpainDepartment of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, GreeceOperations and Digital Infrastructure and Services, Fundació i2CAT, 08034 Barcelona, SpainIoT Research Group, Fundació i2CAT, 08034 Barcelona, SpainDepartment of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, GreeceThousands of devices are connected to the Internet as part of the Internet of Things (IoT) ecosystems. The next generation of IoT networks is expected to support this growing number of Intelligent IoT devices and tactile Internet solutions to provide real-time applications. In view of this, IoT networks require innovative network architectures that offer scalability, security, and adaptability. The Recursive InterNetwork Architecture (RINA) is a clean slate network architecture that provides a scalable, secure, and flexible framework for interconnecting computers. SDN technology is becoming a de facto solution to overcome network requirements, making RINA adoption difficult. This paper presents an architecture for integrating RINA with SDN technologies to lower the barriers of adopting RINA in IoT environments. The architecture relies on a RINA-based distributed application facility (DAF), a RINA southbound driver (SBI), and the RINA L2VPN. The RINA-based DAF manages RINA nodes along the edge–fog–cloud continuum. The SBI driver SDN enables the hybrid centralized management of SDN switches and RINA nodes. Meanwhile, the RINA L2VPN allows seamless communication between edge nodes and the cloud to facilitate the data exchange between network functions (NFs). Such integration has enabled a progressive deployment of RINA in current IoT networks without affecting their operations and performance.https://www.mdpi.com/2076-3417/14/6/2300edge computingIoTfuture networksL2VPNNFVSDN |
spellingShingle | David Sarabia-Jácome Sergio Giménez-Antón Athanasios Liatifis Eduard Grasa Marisa Catalán Dimitrios Pliatsios Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration Applied Sciences edge computing IoT future networks L2VPN NFV SDN |
title | Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration |
title_full | Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration |
title_fullStr | Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration |
title_full_unstemmed | Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration |
title_short | Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration |
title_sort | progressive adoption of rina in iot networks enhancing scalability and network management via sdn integration |
topic | edge computing IoT future networks L2VPN NFV SDN |
url | https://www.mdpi.com/2076-3417/14/6/2300 |
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