Efficient cooperative cache management for latency-aware data intelligent processing in edge environment

Recently, with the rapid development of the fifth-generation (5G) communication technology, various new services such as virtual reality (VR), augmented reality (AR), and video conferencing, etc. have emerged. To achieve optimized quality of service (QoS), high load and low latency, we propose an effective mobile edge caching strategy. Specifically: first, a cache prefetching algorithm is proposed to improve cache hit rate. second, the load balancing algorithm based on the maximum distribution weighted entropy is designed to improve bandwidth utilization and avoid mobile network congestion; third, the optimized cache replacement policy is built based on the content future popularity to reduce access latency and backhaul link pressure. With these proposed cache prefetching and replacement algorithm, the access latency can be reduced significantly, the load balance can be maintained and cache hit ratio can be improved obviously in 5G campus networks. This mobile edge caching policy is an effective improvement of the existing strategy, offering a strong support for the full realization of the 5G network potential. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

The study proposes a mobile edge caching strategy to improve service quality, reduce access latency, and maintain load balance in 5G networks through cache prefetching algorithm, load balancing algorithm, and optimized cache replacement policy, offering support for realizing the potential of 5G networks.