虚拟存储池实现了存储服务器网络通道的并行数据传输，极大地提高了系统的平均数传率。
Virtual storage pool makes users acquire data from storage server's network channels synchronously, which shortens server's response time hugely and improves system average transmission rate.
均线反映了价值认同的平均值，这样通道表明了多头和空头的正常极限。
Moving averages reflect the average consensus of value, while channels show the normal limits of bullishness and bearishness.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
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