QoS-aware 5G component selection for content delivery in multi-access edge computing

Maleki, Erfan Farhangi; Ma, Weibin; Mashayekhy, Lena; Roche, Humberto La

doi:10.1145/3468737.3494101

Cited by 3 publications

(1 citation statement)

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“…This work is based on the advantages of utilizing MEC in the network. These advantages, especially the significant reduction of duplicated content transmissions in backhaul links, enhance Quality of Service (QoS), leading to reduced latency and computational load [9,18,19]. The utilization of mobile data networks is witnessing a global surge.…”

Section: Introductionmentioning

confidence: 99%

Integrating Multi-Access Edge Computing (MEC) into Open 5G Core

Xavier,

Silva,

Ribeiro

et al. 2024

Telecom

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Multi-Access Edge Computing (MEC) represents the central concept that enables the creation of new applications and services that bring the benefits of edge computing to networks and users. By implementing applications and services at the edge, close to users and their devices, it becomes possible to take advantage of extremely low latency, substantial bandwidth, and optimized resource usage. However, enabling this approach requires careful integration between the MEC framework and the open 5G core. This work is dedicated to designing a new service that extends the functionality of the Multi-Access Traffic Steering (MTS) API, acting as a strategic bridge between the realms of MEC and the 5G core. To accomplish this objective, we utilize free5GC (open-source project for 5G core) as our 5G core, deployed on the Kubernetes cluster. The proposed service is validated using this framework, involving scenarios of high user density. To conclude whether the discussed solution is valid, KPIs of 5G MEC applications described in the scientific community were sought to use as a comparison parameter. The results indicate that the service effectively addresses the described issues while demonstrating its feasibility in various use cases such as e-Health, Paramedic Support, Smart Home, and Smart Farms.

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Section: Introductionmentioning

confidence: 99%