Building a P2P RDF Store for Edge Devices

TL;DR

This paper presents a novel P2P RDF storage system tailored for edge devices, leveraging P-Grid for scalable, distributed semantic data management in IoT environments, demonstrated on Raspberry Pi networks.

Contribution

It introduces RDF4Led, a P2P RDF engine combining P-Grid and edge storage, enabling scalable semantic data sharing on low-cost IoT devices.

Findings

Scalable RDF data storage on Raspberry Pi P2P network.

Effective load balancing and query processing with P-Grid.

Demonstrated system performance with up to 16 nodes.

Abstract

The Semantic Web technologies have been used in the Internet of Things (IoT) to facilitate data interoperability and address data heterogeneity issues. The Resource Description Framework (RDF) model is employed in the integration of IoT data, with RDF engines serving as gateways for semantic integration. However, storing and querying RDF data obtained from distributed sources across a dynamic network of edge devices presents a challenging task. The distributed nature of the edge shares similarities with Peer-to-Peer (P2P) systems. These similarities include attributes like node heterogeneity, limited availability, and resources. The nodes primarily undertake tasks related to data storage and processing. Therefore, the P2P models appear to present an attractive approach for constructing distributed RDF stores. Based on P-Grid, a data indexing mechanism for load balancing and range query processing in P2P systems, this paper proposes a design for storing and sharing RDF data on P2P networks of low-cost edge devices. Our design aims to integrate both P-Grid and an edge-based RDF storage solution, RDF4Led for building an P2P RDF engine. This integration can maintain RDF data access and query processing while scaling with increasing data and network size. We demonstrated the scaling behavior of our implementation on a P2P network, involving up to 16 nodes of Raspberry Pi 4 devices.