Optimization research on real-time data replication technology in data disaster recovery systems

In terms of transmission optimization, APRF employs a data heat-aware dynamic chunking strategy to adaptively adjust chunk granularity, combined with an improved fingerprint algorithm and adaptive compression technology to reduce redundant transmissions. For consistency assurance, a hybrid logical clock-based two-level acknowledgment mechanism is designed, ensuring both local rapid response and strong consistency through background global verification. Experimental results demonstrate that APRF outperforms existing mainstream solutions in key metrics such as throughput, latency, consistency assurance, and resource overhead, effectively meeting the disaster recovery requirements of scenarios demanding strong consistency.