软件导刊2019，Vol.18Issue(1)：104-107,4.DOI:10.11907/rjdk.181331
基于HBase的大数据平台负载均衡算法分析与优化
The Analysis and Optimization of Load Balancing Algorithm for Big Data Platform Based on HBase
邵芳 1王勇1
作者信息
- 1. 北京工业大学 信息学部,北京 100124
- 折叠
摘要
Abstract
In order to improve the performance of HBase database, the original load balancing algorithm of HBase is analyzed.The original algorithm strategy ensures that the number of Region per Region Server is the same, but because the access of each Region is not equal, it may cause the load imbalance, generate hot data, and affect the response efficiency of the request.Part of the Region will become a hot spot, which some Region Server overload.It is very important to consider the impact of the heat of the data on the load balancing of a distributed database.Therefore, the prediction method is used to design the HBase load balancing algorithm and predict the heat of the data as the load of the Region Server.The experiment shows that the optimized load balancing algorithm can improve the performance of HBase database.关键词
HBase/大数据/负载均衡/热点数据/预测Key words
HBase/big data/load balance/hot data/prediction分类
信息技术与安全科学引用本文复制引用
邵芳,王勇..基于HBase的大数据平台负载均衡算法分析与优化[J].软件导刊,2019,18(1):104-107,4.
