Implementation of Fault-Tolerance Mechanism in Quorum-Based Blockchain Provisioning in Cloud Infrastructure Using Replication and Monitoring Protocols

Decentralized and distributed blockchain technology has superior potential. Quorum, as a permissioned blockchain platform, provides enhanced privacy and performance that are suitable for enterprise needs. Cloud, as the infrastructure for Quorum-based blockchain, is vulnerable to failures. Failures originating from errors need to be tolerated through improved reliability and fault-tolerance procedures. Fault-tolerance and reliability are still challenging to implement in cloud infrastructure for Quorum-based blockchain networks. This research focuses on implementing fault-tolerance mechanisms in the provisioning of Quorum-based blockchain in a cloud environment. The research explores the use of hybrid fault tolerance by adopting a combination of reactive protocol, namely replication, and proactive protocol, namely monitoring. The replication protocol creates data redundancy with reactive treatment performed in case of failures, ensuring data availability even in failure conditions. The monitoring protocol provides real-time monitoring of the blockchain network's condition and performance, enabling proactive detection and mitigation of system failures. Overall, this research utilizes automation in its operational processes. It employs tools such as Amazon Web Services, Quorum, Docker, Terraform, Ansible, and Truffle. The research design and implementation are divided into cloud infrastructure, blockchain network, and interface. The research testing results demonstrate that the system infrastructure is capable of achieving fault tolerance using replication and monitoring protocols, as well as making transactions within the blockchain network.