Abstract:
All blockchain services need the consensus algorithm to tolerate node faults with data consistency and integrity. Limitations of consensus algorithm studies: No resource consumption analysis was done, performance analysis was incomplete in terms of blockchain parameters (e.g., number of orderer nodes, number of fault nodes, batch size, payload size), and practical fault scenarios were not evaluated. Thus, cloud consensus algorithm resource provisioning is lacking. How to provision consensus algorithms becomes important as more blockchain services are deployed as BaaS. This study analyzes Kafka, Raft, and PBFT’s resource consumption and performance at the kernel level. Our experiments show that BaaS resource provisioning is critical because resource consumption varies up to seven times.
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