Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1042
Title: Multi-PoP Network Slice Deployment: A Feasibility Study
Authors: Valsamas, Polychronis
Papadimitriou, Panagiotis
Sakellariou, Ilias
Petridou, Sophia
Mamatas, Lefteris
Clayman, Stuart
Tusa, Francesco
Galis, Alex
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: Network Slicing
Monitoring
Wide area networks
Prototypes
Resource management
Graphical user interfaces
Computer architecture
Issue Date: Nov-2019
Publisher: IEEE
First Page: 1
Last Page: 6
Volume Title: 2019 IEEE 8th International Conference on Cloud Networking (CloudNet)
Abstract: Network slicing is seen as a key enabler for meeting the diverse network service requirements, which stem from the transition to 5G. Furthermore, network slicing provides inherent support for multi-tenancy, enabling network providers to slice their infrastructure and resell it to a large number of tenants. Most existing work on slicing has been focused on certain mechanisms (e.g., slice embedding) and architecture specifications. As such, the performance and scalability with network slice instantiation has not been studied in depth. These aspects are even more critical in the case of slice deployments across multiple Points-of-Presence (PoP), since the various slice components should be stitched together for the end-to-end slice instantiation. In this paper, we present the design and prototype implementation of a network slicing architecture, based on which we perform a feasibility study of network slicing using multiple experimental infrastructures. Our prototype implementation supports all the required functionality for slice instantiation, such as resource discovery, slice embedding, resource provisioning, link setup, and inter-PoP slice segment stitching. Our experimental results corroborate the feasibility of multi-PoP network slicing. We further gain useful insights on slice instantiation performance and scalability.
URI: https://doi.org/10.1109/CloudNet47604.2019.9064124
https://ruomo.lib.uom.gr/handle/7000/1042
ISBN: 978-1-7281-4832-8
Other Identifiers: 10.1109/CloudNet47604.2019.9064124
Appears in Collections:Department of Applied Informatics

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