RT info:eu-repo/semantics/article
T1 Leveraging load balance metrics to unravel the impact of multi-access edge computing locations on online dynamic network performance
A1 Masoumi, Maryam
A1 Miguel Jiménez, Ignacio de
A1 Brasca, Fabrizio Gabrio
A1 Merayo Álvarez, Noemí
A1 Lorenzo Toledo, Rubén Mateo
A1 Durán Barroso, Ramón José
K1 Blocking ratio
K1 Load balance
K1 MEC placement
K1 Network planning
K1 Protection
K1 Service Function Chains
AB Telecommunication operators are increasingly relying on Network Function Virtualization (NFV) and Multi-access Edge Computing (MEC) to support emerging 5G/6G services, which demand ultralow latency and ultra-reliability. Employing NFV and MEC enable operators to deliver services through Service Function Chains (SFC) composed of Virtual Network Functions (VNFs) utilizing computing resources close to the end user. A critical challenge in this architecture is the efficient allocation of these resources and the strategic placement of MEC sites to host VNFs. This paper introduces, for the first time, a novel approach to efficiently determine where to locate MEC sites with the aim of optimizing dynamic performance. Instead of conducting time-consuming simulations to evaluate and compare each and every potential selection of MEC sites, we demonstrate that by quickly precomputing load balance metrics, such as the Jain fairness index (JFI), promising sets of sites can be identified. Our research shows that there is a statistically significant negative monotonic relationship between the precomputed JFI and the blocking probability when, during network operation, SFCs are dynamically established and released. Thus, by leveraging this fast identification method, network operators can focus their efforts, such as conducting detailed dynamic simulations (necessarily long and time-consuming since networks should operate with low or very low blocking ratios), solely on the most promising combinations. Therefore, this approach streamlines the process of determining the strategic location of MEC sites in a network, reducing the time required to plan and optimize the network configuration effectively.
PB Institute of Electrical and Electronics Engineers (IEEE)
SN 2644-125X
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/70310
UL https://uvadoc.uva.es/handle/10324/70310
LA eng
NO IEEE Open Journal of the Communications Society, 2024, vol. 5, pp. 5635-5651
NO Producción Científica
DS UVaDOC
RD 25-nov-2024