Towards Predictive Replica Placement for Distributed Data Stores in Fog Environments

TL;DR

This paper proposes a predictive replica placement approach for fog environments that autonomously and proactively replicates data near likely client locations to ensure low latency access.

Contribution

It introduces a novel predictive replica placement method tailored for fog environments, addressing the gap in existing systems that lack movement-aware data replication.

Findings

Improves data access latency in fog environments

Enhances data availability through proactive replication

Reduces unnecessary data transfers

Abstract

Mobile clients that consume and produce data are abundant in fog environments. Low latency access to this data can only be achieved by storing it in close physical proximity to the clients. Current data store systems fall short as they do not replicate data based on client movement. We propose an approach to predictive replica placement that autonomously and proactively replicates data close to likely client locations.