Unleashing Multicore Strength for Efficient Execution of Transactions

TL;DR

This paper presents the Multi-Bin Parallel Scheduler (MBPS), a framework that enables concurrent execution of smart contract transactions in blockchain systems, significantly improving performance on multicore architectures.

Contribution

It introduces a novel parallel scheduling framework for blockchain smart contracts that enhances scalability and efficiency while maintaining transaction order.

Findings

Substantial performance improvements over existing frameworks

Effective parallel execution of non-conflicting transactions

Demonstrated scalability in Hyperledger Sawtooth

Abstract

Blockchain technology is booming up the digital world in recent days and thus paved a way for creating separate blockchain network for various industries. This technology is characterized by its distributed, decentralized, and immutable ledger system which serves as a fundamental platform for managing smart contract transactions (SCTs). However, these self-executing codes implemented using blockchains undergo sequential validation within a block which introduces performance bottlenecks. In response, this paper introduces a framework called the Multi-Bin Parallel Scheduler (MBPS) designed for parallelizing blockchain smart contract transactions to leverage the capabilities of multicore systems. Our proposed framework facilitates concurrent execution of SCTs, enhancing performance by allowing non-conflicting transactions to be processed simultaneously while preserving deterministic order. The framework comprises of three vital stages: conflict detection, bin creation and execution. We conducted an evaluation of our MBPS framework in Hyperledger Sawtooth v1.2.6, revealing substantial performance enhancements compared to existing parallel SCT execution frameworks across various smart contract applications. This research contributes to the ongoing optimization efforts in blockchain technology demonstrating its potential for scalability and efficiency in real-world scenarios.