HBase Load Balancing Algorithm Analysis and Improvement

HUANG Wei-jian; SONG Yuan-yuan

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HBase Load Balancing Algorithm Analysis and Improvement

更新时间：2026-09-04

- HBase Load Balancing Algorithm Analysis and Improvement
- Vol. 33, Issue 4, Pages: 125-128(2016)
- 作者机构：
  
  河北工程大学机构信息与电气工程学院,河北,邯郸,056038
- 作者简介：
- 基金信息：
- DOI：
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- Published：2016
- 稿件说明：
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黄伟建, 宋园园. HBase负载均衡分析及优化策略[J]. 微电子学与计算机, 2016, 33(4): 125-128.

HUANG Wei-jian, SONG Yuan-yuan. HBase Load Balancing Algorithm Analysis and Improvement[J]. 2016, 33(4): 125-128.
黄伟建, 宋园园. HBase负载均衡分析及优化策略[J]. 微电子学与计算机, 2016, 33(4): 125-128. DOI：

HUANG Wei-jian, SONG Yuan-yuan. HBase Load Balancing Algorithm Analysis and Improvement[J]. 2016, 33(4): 125-128. DOI：

摘要

HBase作为Hadoop分布式开源云数据库因其高可用性等优势越来越受到青睐

但是随着大量数据的注入

HBase对负载的分配状况将直接影响到整个集群的性能优劣.针对原有负载均衡算法在负载分配过程中可能产生的负载严重不均衡问题

通过分析原有算法和问题出现的因素

提出一种基于子表限制的负载均衡改进方法

并通过与不均衡状况下的对比实验

验证改进后的分配方式可以有效利用集群中各个节点的资源

从而提高分布式集群性能.

Abstract

As the Hadoop distributed open source database

HBase gradually gained a lot of attention due to its high-performance. However

with a large amount of data pouring into HBase

the situation of load distribution by HBase will directly affect the performance of the whole cluster. With the problem of load seriously imbalances in the process of original algorithm

proposed a novel load-balancing approach based on the limited child table

with the analysis of original algorithm and the causes of the problem. The contrast experiment showed that the improved approach of scheduling can make effective use of each node resources in the cluster

thereby improved the performance of the distributed cluster.

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references

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