Integrated Deployment Prototype for Virtual Network Orchestration Solution

Network slicing in the upcoming Telecom generation is a fundamental feature which is deployed to satisfy the various demands in term of data rate and latency. On the other hand, it is seen as a topic that imposes other questions such as the coexistence of physical and virtual functions. In this cont...

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Bibliographic Details
Main Authors: Kassis, Maya, Aba, Massinissa Ait, Castel-Taleb, Hind, Elkael, Maxime, Araldo, Andrea, Jouaber, Badii
Format: Conference Proceeding
Language:English
Subjects:
4G/5G
5G mobile communication
CAPEX
Kube5G
Network slicing
OPEX
Prototypes
Resource management
Search problems
Solution Deployment
Substrates
Telecommunications
Virtual Network Requests
Virtualization
VNE
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Summary:Network slicing in the upcoming Telecom generation is a fundamental feature which is deployed to satisfy the various demands in term of data rate and latency. On the other hand, it is seen as a topic that imposes other questions such as the coexistence of physical and virtual functions. In this context, we consider the resource management problem for 5G networks slicing since the solution searches to optimally allocate multiple Virtual Network Requests (VNRs) on a substrate virtualized physical network. In this demo, we present an integrated framework that uses an agile service platform (Kube5G) to deploy one of the VNE proposed solutions with zero-touch configuration. The aim of this integration is to validate the proposed solution and to practically study the performance differences among multiple algorithms that will be conducted later as well. The overview of the process is shown in steps as exposing the resources' availability of the Physical Nodes (PN), which will be the input of the orchestration algorithm. Successively, the last takes the suitable decision to deploy VNRs on a substrate network, based on the VNRs' demands such as CPU and radio resources and PNs' availability. Afterwards, the decision will be sent to the platform to host the virtual nodes on the chosen physical machines. Bearing in mind that the essential objective of this algorithm is to achieve a better resource usage and increase the VNR acceptance ratio on the physical nodes with respect to the constraints that might affect the performance.
ISSN:2374-9709
DOI:10.1109/NOMS54207.2022.9789812