Mobile Edge Computing

TL;DR

Mobile Edge Computing (MEC) offers a promising approach to reduce latency and improve QoE by processing data near users, leveraging NFV and SDN, while addressing security challenges and exploring diverse applications.

Contribution

This paper provides a comprehensive overview of MEC architecture, key technologies, security issues, and future research directions, highlighting its advantages over traditional cloud computing.

Findings

MEC significantly reduces latency compared to MCC.

NFV and SDN enable scalable and flexible MEC deployment.

Security and privacy are critical challenges in MEC adoption.

Abstract

Mobile Edge Computing (MEC) has emerged as a solution to the high latency and suboptimal Quality of Experience (QoE) associated with Mobile Cloud Computing (MCC). By processing data near the source, MEC reduces the need to send information to distant data centers, resulting in faster response times and lower latency. This paper explores the differences between MEC and traditional cloud computing, emphasizing architecture, data flow, and resource allocation. Key technologies like Network Function Virtualization (NFV) and Software-Defined Networking (SDN) are discussed for their role in achieving scalability and flexibility. Additionally, security and privacy challenges are addressed, underscoring the need for robust frameworks. We conclude with an examination of various edge computing applications and suggest future research directions to enhance the effectiveness and adoption of MEC in the evolving technological landscape.