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.

翻译：移动边缘计算（MEC）已成为解决移动云计算（MCC）中高延迟与服务质量（QoE）欠佳问题的一种方案。通过在近数据源处处理数据，MEC减少了向远端数据中心传输信息的需要，从而实现了更快的响应时间和更低的延迟。本文探讨了MEC与传统云计算之间的差异，重点关注架构、数据流和资源分配。文中讨论了网络功能虚拟化（NFV）和软件定义网络（SDN）等关键技术，及其在实现可扩展性和灵活性方面的作用。此外，本文还探讨了安全与隐私挑战，强调了构建稳健框架的必要性。最后，我们审视了各类边缘计算应用，并提出了未来研究方向，以在技术不断演进的背景下提升MEC的有效性并推动其普及。