Elevating Data Throughput in Distributed Key-Value Systems with Data Distribution

This study explores enhancements in read throughput performance for strongly consistent operations in distributed key-value systems. As cluster size increases, coordination overhead often limits responsiveness due to consensus-related delays. To address this, a lease-based optimization technique is applied, which significantly boosts read throughput. Experimental results show throughput gains ranging from 35% to nearly 88% as the cluster scales, with peak improvements in mid-sized deployments. By reducing coordination requirements without compromising consistency, this method delivers faster read operations in real-time workloads. The overall outcome improves scalability and supports efficient, high-throughput distributed reads.