SRv6-Based Edge Service Continuity in 5G Mobile Networks

Laura Lemmi, Carlo Puliafito, Antonio Virdis () and Enzo Mingozzi
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Laura Lemmi: Department of Information Engineering, University of Pisa, 55022 Pisa, Italy
Carlo Puliafito: Department of Information Engineering, University of Pisa, 55022 Pisa, Italy
Antonio Virdis: Department of Information Engineering, University of Pisa, 55022 Pisa, Italy
Enzo Mingozzi: Department of Information Engineering, University of Pisa, 55022 Pisa, Italy

Future Internet, 2024, vol. 16, issue 4, 1-29

Abstract: Ensuring compliance with the stringent latency requirements of edge services requires close cooperation between the network and computing components. Within mobile 5G networks, the nomadic behavior of users may impact the performance of edge services, prompting the need for workload migration techniques. These techniques allow services to follow users by moving between edge nodes. This paper introduces an innovative approach for edge service continuity by integrating Segment Routing over IPv6 (SRv6) into the 5G core data plane alongside the ETSI multi-access edge computing (MEC) architecture. Our approach maintains compatibility with non-SRv6 5G network components. We use SRv6 for packet steering and Software-Defined Networking (SDN) for dynamic network configuration. Leveraging the SRv6 Network Programming paradigm, we achieve lossless workload migration by implementing a packet buffer as a virtual network function. Our buffer may be dynamically allocated and configured within the network. We test our proposed solution on a small-scale testbed consisting of an Open Network Operating System (ONOS) SDN controller and a core network made of P4 BMv2 switches, emulated using Mininet. A comparison with a non-SRv6 alternative that uses IPv6 routing shows the higher scalability and flexibility of our approach in terms of the number of rules to be installed and time required for configuration.

Keywords: 5G; edge computing; SRv6; service continuity; SDN; ETSI MEC (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
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