Dynamic UPF placement and chaining reconfiguration in 5G networks

Network function virtualization (NFV) and multi-access edge computing (MEC) have become two crucial pillars in developing 5G and beyond networks. NFV promises cost-saving and fast revenue generation through dynamic instantiation and the scaling of virtual network functions (VNFs) according to time-v...

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Veröffentlicht in:Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2022-10, Vol.215, p.109200, Article 109200
Hauptverfasser: Leyva-Pupo, Irian, Cervelló-Pastor, Cristina, Anagnostopoulos, Christos, Pezaros, Dimitrios P.
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container_title Computer networks (Amsterdam, Netherlands : 1999)
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creator Leyva-Pupo, Irian
Cervelló-Pastor, Cristina
Anagnostopoulos, Christos
Pezaros, Dimitrios P.
description Network function virtualization (NFV) and multi-access edge computing (MEC) have become two crucial pillars in developing 5G and beyond networks. NFV promises cost-saving and fast revenue generation through dynamic instantiation and the scaling of virtual network functions (VNFs) according to time-varying service demands. Additionally, MEC provides considerable reductions in network response time and backhaul traffic since network functions and server applications can be deployed close to users. Nevertheless, the placement and chaining of VNFs at the network edge is challenging due to numerous aspects and attendant trade-offs. This paper addresses the problem of dynamic user plane function placement and chaining reconfiguration (UPCR) in a MEC environment to cope with user mobility while guaranteeing cost reductions and acceptable quality of service (QoS). The problem is formalized as a multi-objective integer linear programming model to minimize multiple cost components involved in the UPCR procedure. We propose a heuristic algorithm called dynamic priority and cautious UPCR (DPC-UPCR) to reduce the solution time complexity. Additionally, we devise a scheduler mechanism based on optimal stopping theory to determine the best reconfiguration time according to instantaneous values of latency violations and a pre-established QoS threshold. Our detailed simulation results evidence the efficiency of the proposed approaches. Specifically, the DPC-UPCR provides near-optimal solutions, within 15% of the optimum in the worst case, in significantly shorter times than the mathematical model. Moreover, the proposed scheduling method outperforms two scheduler baseline solutions regarding the number of reconfiguration events and QoS levels.
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subjects 5G mobile communication
Algorithms
Chaining
Dynamic reconfiguration
Edge computing
Heuristic methods
Integer linear programming (ILP)
Integer programming
Linear programming
Mathematical models
Mobile computing
Network function virtualization (NFV)
Network latency
Optimal stopping theory (OST)
Optimization
Placement
Quality of service
Reconfiguration
Response time
Service function chain (SFC)
User plane function (UPF)
Virtual networks
title Dynamic UPF placement and chaining reconfiguration in 5G networks
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