Empirical Performance Analysis of Hyperledger Fabric Blockchain Network for Healthcare

Das, Shampa Rani
Jhanjhi, NZ
Ashfaq, Farzeen
Ahmed, Husham M.
Khan, Azeem

International Journal of Engineering, Science and Information Technology
Vol 5, No 4 (2025)

The most prevalent blockchain-enabled systems have several apparent advantages, but scaling remains a technical difficulty that results in performance deficiencies in latency and throughput.  The foremost concern is that a thorough performance analysis is required to determine their viability and efficiency. The prospective impact of transaction delay on blockchain networks is an acute issue for e-healthcare-related services since it can jeopardize the patient’s life safety. A benchmarking tool Hyperledger Caliper is utilized to measure performance parameters in the Hyperledger Fabric network. The effects of workload fluctuation in 6 rounds with up to 3000 Transactions Per Second (TPS) are demonstrated when four organizations are put up in the network. Significant findings include a noteworthy decrease of 27.11% in open latency and 26.27% in query latency, and an increase of 3.13% in query throughput and 3.44% in open throughput demonstrating enhancements in adaptability and operational efficiency over the recent existing approaches proposed. It demonstrates an ongoing increase in CPU and memory consumption, peaking at 5.49% and 528.23 MB for 3000 TPS, respectively. Inbound and outbound traffic indicate relatively even utilization, with variations falling within a moderate range.