Collaborative Diversified Caching Strategies for Enhanced Performance in Edge Server Networks
Yukang Guo, Yongxuan Sang, Bo Wang, Yaoli Xu · 2025
Edge computing effectively mitigates the high network latency issues associated with central cloud architectures by deploying server resources in close proximity to users. However, the storage and other resources of edge servers are limited, making it essential to adopt reasonable cache replacement strategies to enhance cache hit rates for edge services, thereby reducing service latency and improving service quality. The spatiotemporal correlation in user service request distributions presents both opportunities and challenges for edge service caching. Existing research in this domain often neglects the collaboration between edge servers, which can lead to low cache hit rates and consequently reduce the efficiency of edge resource utilization and service quality. To address the cache hit problem in the context of multi-edge device collaboration, this paper proposes a diversified caching algorithm.