FCR: A Dynamic Data Replication Approach for Fog Computing
DOI:
https://doi.org/10.5753/reic.2026.7573Keywords:
fog computing, data replication, data availability, proximity centrality, quorum systemsAbstract
Data replication is a widely studied topic in distributed systems and consists of creating and placing data copies at different locations across the network. In the context of fog computing, such approaches aim to meet key architectural requirements, including increased data availability and reduced access and transmission latency. As fog computing brings services closer to the network edge, data replication becomes a fundamental technique to support this paradigm. Despite the existence of several approaches, no single method comprehensively addresses all challenges associated with data replication. This work proposes the Fog-Closeness Replication (FCR) approach, a dynamic replication strategy based on proximity centrality metrics and read and write quorums. The approach is evaluated through simulations using the iFogSim2 environment, considering performance metrics such as read and write latency, number of replicas, and successful read rate. The results demonstrate that FCR reduces write and read latency by up to 52.1% and 9%, respectively, and maintains 100% successful read rate across replicas when compared to a random allocation-based approach, even under dynamic network topologies and varying access patterns.
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