Inverted Ant Colony Optimization Algorithm for Data Replication in Cloud Computing

Data replication is crucial in enhancing data availability and reducing access latency cloud computing. This paper presents a dynamic duplicate management method for storage systems based on the Inverted Ant Colony Optimization (IACO) algorithm fuzzy logic system. The proposed approach optimizes decisions focusing energy consumption, response time, cost. Extensive simulations demonstrate that IACO-based outperforms existing techniques, achieving remarkable 25% reduction significant 15% improvement substantial 20% cost reduction. By addressing research gap concerning integrating IACO replication, our work contributes to advancing computing solutions large datasets. offers viable efficient improve resource utilization system performance, benefiting various scientific fields.