RT Conference Proceedings
T1 GANSO: Automate Network Slicing at the Transport Network Interconnecting the Edge
A1 Takeru Infiesta, José
A1 Guimarães, Carlos
A1 Contreras Murillo, Luis Miguel
A1 Oliva Delgado, Antonio de la
AB 5G and Edge computing are two technologies set to impose a paradigm shift from today's traditional networking solutions. In particular, transport networks, which connect distinct computing infrastructures, must guarantee a wide range of performance requirements from coexisting network services. 5G network slicing enables such capability by providing the flexibility to support multiple and isolated virtual networks over the same and shared infrastructure. This paper introduces the GST And Network Slice Operator (GANSO) framework for automating the creation of network slices over SDN architectures, focusing on transport networks interconnecting Edge data centers. To characterise the type of network slice to be deployed, it uses Generic network Slice Templates (GSTs). Initially, five GST attributes are implemented in a proof-of-concept prototype, namely through configurable User Data Access and Rate Limit parameters. It is then validated in a scenario considering the instantiation of network slices over the transport network for different virtual applications hosted across the edge-to-cloud continuum.
PB IEEE
YR 2020
FD 2020-12-24
LK https://hdl.handle.net/10016/31510
UL https://hdl.handle.net/10016/31510
LA eng
NO Proceeding of: 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), proceedings, 9 -12 November 2020 // Virtual Conference, Madrid/Leganés, Spain
NO This work has been (partially) funded by H2020 EU/TW 5G-DIVE (Grant 859881) and H2020 5Growth (Grant 856709). It has been also funded by the Spanish State Research Agency (TRUE5G project, PID2019-108713RB-C52PID2019-108713RB-C52 / AEI / 10.13039/501100011033).
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RD 17 jul. 2024