Designing an SDN testbed environment to support the IoT: prototype and evaluation

The Network functions virtualization (NFV) emerges as one of the most promising technology for the management of the next Internet generation. In recent years, computer and communication systems have considerably evolved influencing the development of network infrastructures in terms of scalability,...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: González, Carlos (author)
Άλλοι συγγραφείς: Flauzac, Olivier (author), Nolot, Florent (author)
Μορφή: article
Γλώσσα:Ισπανικά
Έκδοση: 2020
Διαθέσιμο Online:https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2445
https://ridda2.utp.ac.pa/handle/123456789/13105
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Περιγραφή
Περίληψη:The Network functions virtualization (NFV) emerges as one of the most promising technology for the management of the next Internet generation. In recent years, computer and communication systems have considerably evolved influencing the development of network infrastructures in terms of scalability, programmability and dynamic management. The number of connected devices grows exponentially with the development of the Internet of Things (IoT) and a plethora of online applications. The research community has focused its efforts on optimizing network administration with implementation and configuration techniques improving the network performance. With the evolution of new emerging technologies, appears the Software Defined Networking (SDN) and the Virtualization of Network Functions (NFV), which allow a flexible, dynamic and adaptable management to optimize network resources. In an IoT environment, we developed a virtual network architecture, which provides a test platform that allows us to evaluate the orchestration of a distributed SDN controller, obtaining a scalable and flexible management. This research work aims to enhance the large-scale traffic engineering, with a distributed approach including the load-balanced management of controller nodes, allowing dynamic and flexible management. The experimental results show a good performance of the developed testbed platform.