QoS Management in Multi-access Edge Compute

Abstract

Multi-access Edge Computing (MEC) is an integral part of 5G wireless networks by supporting higher speed and lower latency for users. 5G wireless network supports heterogenous applications such as Internet of Things (IoT), Private Wireless Networks, online gaming and remote healthcare, with well-defined Service Level Agreements (SLAs). QoS Management in MEC is critical for improving the user experience and for meeting the SLA targets of 5G services. While QoS management practices are well-established for applications hosted in the cloud, there is dearth of studies on QoS management in MEC.This paper presents the survey of techniques used in QoS Management in MEC, reviewing the factors influencing QoS and the various performance indicators for QoS . This research work analyzes the existing QoS management approaches and discuss their advantages and limitations. The proposed research work highlights the need for further research to study QoS management models that leverage application characteristics and radio signal quality. The proposed study emphasizes the need for developing QoS management models, which can scale to large deployments of MEC nodes and support federated MEC clouds.