Geo-located data for better dynamic replication

TL;DR

This paper proposes a framework for location-dependent data replication in mobile applications, combining peer-to-peer synchronization and edge server replication to improve latency and reduce server load.

Contribution

It introduces a novel framework that supports dynamic, location-aware data replication combining peer-to-peer and edge server approaches.

Findings

Preliminary results show promising performance improvements.

The framework effectively supports location-dependent mobile applications.

Abstract

An increasing number of mobile applications share location-dependent information, from collaborative applications and social networks to location-based games. For such applications, peer-to-peer architectures where mobile devices share information directly may grant lower latency and reduce server load. In this work, we propose a framework to support these applications, providing location-dependent replication. Data has an associated location and is replicated in the mobile devices that show interest and are close to that location. Our proposal combines peer-to-peer synchronisation among mobile devices and replication at edge servers. Our preliminary results are promising.