A Framework for Enhancing Online Food Delivery Systems with Fog Computing

This paper presents a fog computing framework designed to enhance the performance of online food delivery systems by reducing latency and improving packet transfer efficiency. Unlike traditional cloud-based systems, which often suffer from high latency due to centralized data processing, the proposed framework leverages fog computing to distribute processing closer to users, thereby minimizing delays and enhancing service responsiveness. A key contribution of this framework is its strategic approach to service placement, which delineates the optimal distribution of services between cloud and fog environments. This strategic distribution aims to balance computational load and enhance overall service efficiency. Although the framework is currently at a conceptual stage, it lays out a comprehensive plan for future practical implementation. Subsequent work will involve deploying the framework in real-world settings, evaluating its performance, collecting user feedback, and conducting security assessments to confirm its benefits and refine its functionalities. This work provides a foundational approach for leveraging fog computing to advance online food delivery systems, setting the stage for future developments in this area.