Title
An optimal candidate selection model for self-acting load balancing of parallel file system
Abstract
The load imbalance among the I/O servers of parallel file systems is an emerging challenge to effectively utilise the high-end computing system. However, most contemporary parallel file systems lack the ability to handle the load imbalance among the I/O servers. In order to address this problem, a self-acting load balancing strategy is proposed in this paper. The self-acting load balancing is based on two novel components: a statistic model which measures the relationship between the response time and the load of I/O server and an optimal candidate selection model for the dynamic file migration. The experimental results show that the parallel file system with the proposed load balancing scheme can improve the performance of parallel I/O.
Year
DOI
Venue
2012
10.1504/IJHPCN.2012.046350
IJHPCN
Keywords
Field
DocType
parallel file system,o server,self-acting load balancing,load imbalance,self-acting load,optimal candidate selection model,high-end computing system,contemporary parallel file system,dynamic file migration,proposed load,load balancing,high performance computing
File system,Network Load Balancing Services,Statistic,Supercomputer,Load balancing (computing),Computer science,Parallel computing,Server,Response time,Computer network,Round-robin DNS,Distributed computing
Journal
Volume
Issue
Citations 
7
2
1
PageRank 
References 
Authors
0.35
4
4
Name
Order
Citations
PageRank
Bin Dong1252.50
Xiuqiao Li2515.74
Limin Xiao323147.05
Li Ruan412325.10