Collaborative Cache Algorithm of Mobile Edge Computing

The growing demand for low-latency and high-bandwidth applications has led to the emergence of Mobile Edge Computing (MEC) as a promising paradigm. MEC leverages the computational and storage capabilities of edge devices to provide efficient and proximity-based services. However, the limited resources and mobility of mobile devices pose significant challenges in managing the caching operations within MEC environments. In this paper, we propose a Collaborative Cache Algorithm for MEC that aims to enhance performance and resource utilization. The algorithm leverages the cooperation among mobile devices and exploits communication and cache collaboration among MEC nodes. By analyzing data requests and cache states among mobile devices, the algorithm intelligently allocates data for caching on the most suitable MEC nodes. To evaluate the effectiveness of the proposed algorithm, we conduct a comprehensive set of experiments and compare it against existing cache algorithms. The experimental results demonstrate the superiority of the Collaborative Cache Algorithm in terms of cache hit ratio and delay reduction on MEC nodes.