  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.
