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Load Balancing Algorithm Based on Dual-Load Prediction

机译:基于双负荷预测的负荷平衡算法

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摘要

To obtain a better capacity of clustered web servers, a load balancing algorithm is presented in this paper based on dual-load prediction, using the different characteristics of web server users' requests for static and dynamic content. First, wavelet packet-SVR (Support Vector Regression) prediction model is constructed; then, the arriving assignments are distributed according to the type of the requests and the load predicted. The simulation result proved that the proposed method has better performance then traditional load balancing algorithm based on load prediction.
机译:为了获得更好的群集Web服务器容量,本文提出了一种基于双重负载预测的负载平衡算法,利用了Web服务器用户对静态和动态内容的不同要求。首先,构建了小波包-SVR(支持向量回归)预测模型;然后,根据请求的类型和预测的负载分配到达的分配。仿真结果表明,该方法比传统的基于负载预测的负载均衡算法具有更好的性能。

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