SCALABILITY ASSESSMENT AND PERFORMANCE OPTIMIZATION OF HYPERLEDGER FABRIC

Abstract

The feature of Blockchain as distributed ledger that are shared among nodes within a computer network, renowned for its pivotal role in cryptocurrency systems by ensuring a secure and decentralized the role of transaction record which is ensured for maintenance of security and decentralization in cryptocurrency systems. The Linux Foundation host the open-source framework of private blockchain, the Hyperledger Fabric (HLF). Smart contracts are utilized for transaction management and a modular architecture of blockchain framework, providing a foundation for the development of blockchain-based applications through plug-and-play components. In the realm of distributed systems, scalability emerges as a crucial design goal for developers. The most appropriate blockchain platform for the operations of the business industry, which need for the seamless addition of more users and resources without perceptible performance loss. An assessment of scalability is required as a large number of nodes involvement in the implementation of blockchain frameworks. In this paper, the impact of system configurations such as, transaction volume, node types is focused in the transition of V2.2.4 with the various significant issues with the architecture. The throughput, latency, processor, and memory usages are mainly analyzed based on the different number of transactions. According to the performance results of the proposed system, the scalability of the possible number of transactions and the different peer nodes can be supported in the implementation of blockchain-based system for HLF blockchain.