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EJB集群系统负载均衡策略的研究与实现

Research and realization on load balancing strategy in EJB cluster system
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摘要 分析了常用EJB集群系统的设计方法与负载均衡算法,设计了一种软件Proxy系统,并针对常用算法的不足提出了一种基于BP神经网络的负载均衡算法。该算法具有较强学习能力、容错性强和自适应能力强的特点。仿真实验证明,基于该算法的集群系统具有较好的适应能力和伸缩性。 The design methods and load balancing algorithm of EJB clustering system was analyzed, and a new approach based on the BP neural networks was presented to solve the load balancing algorithm problem. How to design the BP Neural Network model was researched. The example shows that the system based on this algorithm is proved to reach better effects.
作者 方巍 孙涌 张书奎
机构地区 苏州大学江苏省计算机信息处理技术重点实验室
出处 《计算机应用》 CSCD 北大核心 2006年第4期850-852,共3页 journal of Computer Applications
关键词 EJB集群 负载均衡 BP神经网络 EJB clustering load balancing BP neural network
分类号 TP311.5 [自动化与计算机技术—计算机软件与理论]
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计算机应用
2006年 第4期

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