Enhancing Split-Join Blockchain Performance through Load Balancing

Abstract

Blockchain technology is secure, tamper-proof and transparent in nature, but the scalability of blockchain remains a significant challenge due to its decentralized nature. Many researchers and enterprises are actively working on blockchain technology to resolve these issues and optimize performance. As a result, several approaches have been proposed, such as Directed Acyclic Graphs and Sharding mechanisms, to achieve parallelism and high scalability, but still there are many open issues to be addressed. This study explores the importance of load balancing in the Split-Join blockchain framework, which is designed to enhance scalability through parallel block processing. This work analyzes the throughput with and without implementing the load balancing in split-join blockchain, conducting an empirical study of increasing transaction volumes and their impact on blockchain performance. The results show that implementing a load balancer within the blockchain technology framework significantly enhances throughput and reduces processing times, thus proving the capability to enhance the overall performance of blockchain.