A Novel Weight-based Leader Election Approach for Split Brain in Distributed System

The rapid development of High Availability (HA) system has attracted growing attention from both industry and academia. Due to the network and hardware failure, a complete system would split into two or more separate partitions, which begin to compete for shared resources, resulting in system chaos...

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Published in:IOP conference series. Materials Science and Engineering 2020-01, Vol.719 (1), p.12005
Main Authors: Jiang, Feng, Cheng, Yongyang, Dong, Changkun, Yu, Erdong
Format: Article
Language:English
Subjects:
Arbitration
Brain
Computer networks
Elections
Hardware
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description The rapid development of High Availability (HA) system has attracted growing attention from both industry and academia. Due to the network and hardware failure, a complete system would split into two or more separate partitions, which begin to compete for shared resources, resulting in system chaos and data corruption. In this paper, we propose a novel weight-based leader election approach for split brain in a distributed system. The leader of separate partitions would be elected by embedding an arbitration program in the client. Unlike the traditional mode, the leader election in our proposed approach is lightweight and fully automatic, meaning that no additional hardware resources or manual intervention are required. The approach presented in this paper has been validated to be valid through qualitative and quantitative experiments.
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subjects Arbitration
Brain
Computer networks
Elections
Hardware
title A Novel Weight-based Leader Election Approach for Split Brain in Distributed System
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