An Experimental Framework for Implementing Decentralized Autonomous Database Systems in Rust

TL;DR

This paper introduces an experimental framework for building decentralized autonomous database systems using Rust, demonstrating promising performance, security, and reliability benefits through comprehensive evaluation.

Contribution

It presents the first practical implementation of a Rust-based DADBS, highlighting design choices, performance metrics, and security analysis, advancing decentralized database research.

Findings

Achieved 3,000 transactions/second throughput

Maintained high throughput despite malicious nodes

Demonstrated Rust's effectiveness in distributed system reliability

Abstract

This paper presents an experimental framework for implementing Decentralized Autonomous Database Systems (DADBS) using the Rust programming language. As traditional centralized databases face challenges in scalability, security, and autonomy, DADBS emerge as a promising solution, using blockchain principles to create distributed, self-governing database systems. Our framework explores the practical aspects of building a DADBS, focusing on Rust's unique features that improves system reliability and performance. We evaluated our DADBS implementation across several key performance metrics: throughput, latency(read), latency(write), scalability, CPU utilization, Memory Usage and Network I/O, The average results obtained over a 24-hour period of continuous operation were 3,000 transactions/second, 75 ms, 250 ms, 55%, 2.5 GB, 100MB/s. The security analysis depicts that even with an increase in the percentage of malicious nodes, DADBS still maintains high throughput and consistency. The paper discusses key design decisions, highlighting how Rust's ownership model and concurrency features address common challenges in distributed systems. We also examine the current limitations of our approach and potential areas for future research. By providing this comprehensive overview of a Rust-based DADBS implementation, we aim to contribute to the growing body of knowledge on decentralized database architectures and their practical realization.