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open-access-imgOpen AccessA Novel Weight-based Leader Election Approach for Split Brain in Distributed System
Feng Jiang,
Yongyang Cheng,
Changkun Dong,
Erdong Yu
Publication year2020
Publication title
iop conference series
Resource typeJournals
PublisherIOP Publishing
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.
Subject(s)arbitration , art , artificial intelligence , computer science , distributed computing , embedding , human–computer interaction , intervention (counseling) , language change , law , leader election , literature , meaning (existential) , mode (computer interface) , political science , psychiatry , psychology , psychotherapist

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