Implementation of monitoring system for availability of Hyperledger Indy

Gyu Hyun Chio, Geun Hyung Kim
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Abstract

Hyperledger Indy is an open-source implementation of DID, a decentralized identity verification technology. Hyperledger Indy uses the RBFT consensus algorithm, and if there is a lack of consensus with more than a certain number of problem nodes in the pool, data is not added. This problem can be prevented in advance by adding a node, and a node monitoring system was implemented to operate automatically. The node monitoring system continuously checks the status of the pool and automatically adds nodes when there are more than a certain number of problematic nodes to prevent consensus problems from occurring. This proposed method can increase the availability of Hyperledger Indy and is a study that can be referenced in various blockchain services that use consensus algorithms.
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Hyperledger Indy可用性监控系统的实现
Hyperledger Indy是分布式身份验证技术DID的开源实现。Hyperledger Indy使用RBFT共识算法,如果池中超过一定数量的问题节点缺乏共识,则不会添加数据。该问题可以通过增加节点提前预防,并实现节点监控系统自动运行。节点监控系统持续检测池状态,当问题节点数量超过一定数量时,自动增加节点,防止出现共识问题。提出的方法可以提高Hyperledger Indy的可用性,并且可以在使用共识算法的各种区块链服务中引用。
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