Performance Optimization of High-Conflict Transactions within the Hyperledger Fabric Blockchain

TL;DR

This paper introduces a novel approach to enhance Hyperledger Fabric's performance by early conflict detection through modified MVCC mechanisms, significantly improving throughput and latency in high-conflict scenarios.

Contribution

It proposes and evaluates OEMVCC and OEMVCC-EA, innovative modifications that reallocate MVCC to enable early conflict detection, improving performance in high-conflict blockchain applications.

Findings

Significant throughput improvements observed

Latency reductions achieved

Effective handling of high-conflict transactions

Abstract

Hyperledger Fabric (HLF) is a secure and robust blockchain (BC) platform that supports high-throughput and low-latency transactions. However, it encounters challenges in managing conflicting transactions that negatively affect throughput and latency. This paper proposes a novel solution to address these challenges and improve performance, especially in applications incorporating extensive volumes of highly conflicting transactions. Our solution involves reallocating the Multi-Version Concurrency Control (MVCC) of the validation phase to a preceding stage in the transaction flow to enable early detection of conflicting transactions. Specifically, we propose and evaluate two innovative modifications, called Orderer Early MVCC (OEMVCC) and OEMVCC with Execution Avoidance (OEMVCC-EA). Our experimental evaluation results demonstrate significant throughput and latency improvements, providing a practical solution for high-conflict applications that demand high performance and scalability.