IDSS, a Novel P2P Relational Data Storage Service

TL;DR

This paper introduces IDSS, a scalable P2P relational data storage system that efficiently manages large-scale, heterogeneous data through distributed queries and a peer-to-peer architecture.

Contribution

It presents a novel P2P-based data storage framework combining relational databases with distributed query processing for large-scale data management.

Findings

Supports complex distributed queries effectively

Leverages P2P networks for scalable data storage

Enhances efficiency in managing large, heterogeneous datasets

Abstract

The rate at which data is generated has been increasing rapidly, raising challenges related to its management. Traditional database management systems suffer from scalability and are usually inefficient when dealing with large-scale and heterogeneous data. This paper introduces IDSS (InnoCyPES Data Storage Service), a novel large-scale data storage tool that leverages peer-to-peer networks and embedded relational databases. We present the IDSS architecture and its design, and provide details related to the implementation. The peer-to-peer framework is used to provide support for distributed queries leveraging a relational database architecture based on a common schema. Furthermore, methods to support complex distributed query processing, enabling robust and efficient management of vast amounts of data are presented.