Abstract To a large extent, the load balancing algorithm affects the clustering performance of the computer. This paper illustrated the common load balancing algorithms and elaborated on the advantages and drawbacks of such algorithms. In addition, this paper provides a kind of balancing algorithm generated on the basis of the load prediction. Due to the dynamic exponential smoothing model, such an algorithm helps obtain the corresponding smoothing coefficient with the server node load time series of current phrase and allows researchers to make prediction with the load value at the next moment of this node. Subsequently, the dispatcher makes the scheduling with the serve request of users according to the load predicted value. OPNET Internet simulated software is applied to the test, and we may conclude from the results that the application of such an algorithm acquires a higher load balancing efficiency and better load balancing effect.

中文翻译：

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基于动态指数平滑的预测负载均衡算法

摘要 负载均衡算法在很大程度上影响着计算机的聚类性能。本文举例说明了常见的负载均衡算法，并详细阐述了这些算法的优缺点。此外，本文还提供了一种基于负载预测生成的均衡算法。由于采用动态指数平滑模型，这种算法有助于根据当前短语的服务器节点负载时间序列获得相应的平滑系数，并允许研究人员利用该节点下一时刻的负载值进行预测。随后，调度员根据负载预测值对用户的服务请求进行调度。应用OPNET Internet模拟软件进行测试，