T/GDFCA 039-2022 Performance efficiency testing standards for food traceability system based on blockchain technology

Scope

Scope: This standard specifies the terms and definitions, testing criteria, testing methods, and testing content for performance and efficiency testing of food traceability systems based on blockchain technology. This standard applies to performance and efficiency testing of food traceability systems based on blockchain technology. Main technical content: According to the characteristics of the tested system, common testing methods include: stress testing, load testing, capacity testing, configuration testing, benchmark testing, and concurrent testing. By using general or dedicated performance testing tools and equipment and designing test cases, the performance and efficiency of the blockchain system are tested from aspects such as time characteristics, resource utilization, capacity, and performance efficiency compliance. The results of the performance and efficiency testing are compared with the performance and efficiency indicators in the requirement specification to evaluate the compliance of the blockchain system's performance and efficiency. The common blockchain system testing methods are implemented as follows: 1) Stress testing: Under certain software, hardware, and network environments, the performance testing tool simulates a large number of virtual users generating load on the server, making the server's resources operate continuously under extreme conditions for a long time to test whether the server can work stably under high load. 2) Load testing: Under certain software, hardware, and network environments, the performance testing tool runs one or more businesses under different virtual user numbers to test whether the server's performance indicators meet the requirements, used to determine the maximum number of users, the maximum effective number of users, and the system response time and server resource utilization under different user numbers. 3) Capacity testing: Under certain software, hardware, and network environments, different levels of time

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