Boosting Task-Driven Applications from Cloud to Edge: Leveraging Utility for Effective Data Replication
Cherif SI Mohammed, Adrien Lèbre, Alexandre van Kempen · 2025
The ongoing shift from Cloud Computing to Edge Computing paradigm brings geo-distributed data management challenges back to the forefront, particularly in the context of large-scale data processing.This article explores data replication, a key strategy for improving system performance in geo-distributed computing environments. While replication can improve efficiency, naive strategies often result in excessive and unnecessary data transfers, leading to inefficient resource utilization, particularly in infrastructures interconnected via heterogeneous network links. To address these limitations, we propose a replication strategy that estimates the utility of each potential replica before deployment. The approach is first evaluated in homogeneous environments and then extended to heterogeneous settings with varying network characteristics. Simulation results show that our method significantly reduces data transfers while maintaining high execution efficiency, achieving a balanced trade-off between performance and resource consumption.