Performance Evaluation of Multi-Access Edge Computing for Blended Learning Services

Abstract

Multi-access Edge Computing (MEC) is a technology that enables the deployment of cloud computing capabilities at the edge of the network. It is an emerging technology that has been identified as a key enabler for 6G networks. Blended learning is an educational approach that combines traditional face-to-face instruction with online learning activities, and MEC is a technology that enables the delivery of cloud computing services at the edge of a network This paper examines the potential of blended learning over Multi-Access Edge Computing (MEC) for improved educational outcomes. Blended learning is a combination of online and traditional classroom instruction, and MEC is an emerging technology that enables the delivery of cloud computing services at the edge of the network. The paper reviews existing literature on blended learning and MEC and discusses how they can be used together to improve educational outcomes. Finally, it provides recommendations for further research in this area. The paper concludes that blended learning over MEC has great potential to improve educational outcomes, but more research is needed to understand how best to implement it.