Open AccessA Novel Weight-based Leader Election Approach for Split Brain in Distributed System
Author(s) -
Feng Jiang,
Yongyang Cheng,
Chuanfei Dong,
Erdong Yu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012005
Subject(s) - computer science , leader election , meaning (existential) , arbitration , mode (computer interface) , embedding , distributed computing , intervention (counseling) , language change , artificial intelligence , human–computer interaction , psychology , political science , art , literature , psychiatry , law , psychotherapist
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.