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Consensus transaction trajectory visualization tracking method for Fabric based on custom logs
Shanshan LI, Yanze WANG, Yinglong ZOU, Huanlei CHEN, He ZHANG, Ou WU
Journal of Computer Applications    2022, 42 (11): 3421-3428.   DOI: 10.11772/j.issn.1001-9081.2021111935
Abstract275)   HTML5)    PDF (3301KB)(79)       Save

Concerning that the federated chain lacks visualization methods to show the resource usage, health status, mutual relationship and consensus transaction process of each node, a Fabric consensus transaction Tracking method based on custom Log (FTL) was proposed. Firstly, Hyperledger Fabric, a typical federation framework, was used as the infrastructure to build the bottom layer of FTL. Then, the custom consensus transaction logs of the Fabric were collected and parsed by using the ELK (Elasticsearch, Logstash, Kibana) tool chain, and Spring Boot was used as the business logic processing framework. Finally, Graphin which focuses on graph analysis was utilized to realize the visualization of consensus trade trajectory. Experimental results show that compared with native Fabric applications, FTL Fabric?based application framework only experienced an 8.8% average performance decline after the implementation of visual tracking basis without significant latency, which can provide a more intelligent blockchain supervision solution for regulators.

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