Abstract

The use of mobile internet has increased in tandem with the demand for ultra-low-latency services, such as realtime analytics, augmented reality, and autonomous systems. This has revealed limitations within cloud-centric models and their frameworks. This paper proposes the implementation of an Edge-Centric Mobile Internet Architecture (ECMIA). This aims to address these gaps through the decentralization of computing resources, bringing processing power closer to the end-user. ECMIA combines software-defined networking (SDN), network function virtualization (NFV), and edge computing to significantly reduce system latency while optimizing bandwidth utilization and enhancing quality of service (QoS). The architecture is capable of dynamic resource allocation, as well as supporting mobility, and is further enhanced by intelligent traffic steering to satisfy latency-sensitive applications. Simulation results demonstrate the performance superiority of ECMIA over standard models, particularly in scenarios involving realtime data processing and extensive user mobility. This serves as a basis for future-generation mobile networks that will be able to meet the requirements for services with ultra-low latency.