Performance Test of the Hyperledger Fabric

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眼角桃花
眼角桃花 2021-01-30 05:38

During trying to achieve the performance with Hyperledger Fabric which IBM team reported in their article Hyperledger Fabric: A Distributed Operating System for Permissioned Blo

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  • 2021-01-30 06:32

    Fabric is a queueing system. With a high load, the waiting time increases exponentially (queueing property) and hence the transaction latency. However, for golevelDB, we should get at least 2000 tps with a low latency.

    From the CPU utilization plot, it looks like only 16 vCPUs are utilized fully out of 36 vCPUs. What value is set for validatorPoolSize in core.yaml for each peer? You can set this value equal or lesser than the block size and check whether the throughput increases.

    The performance would differ based on the

    1. workload (fabcar vs fabcoin),
    2. disk (hdd vs ssd, local vs network attached),
    3. load generator (CLI vs SDK),
    4. load generation method (open system vs closed system vs some distribution) and
    5. network bandwidth (at least 1.6 Gbps for 2700 tps).

    Also, ensure that the load generator is not becoming a bottleneck. It would be better the latency can be divided further into (endorsement latency, ordering latency, commit latency) and collect other resource utilization such as network and disk so that the bottleneck can be identified easily.

    You can refer to our technical paper titled Performance Benchmarking and Optimizing Hyperledger Fabric. We have conducted a comprehensive empirical study. With levelDB, we should get at least 2000 tps with a low latency.

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