This paper defines deflection ratio and designs fair queueing algorithm CFQ basing on dynamic adjustment of weight and having compensation from the method of simulating normalized service of GPS.
本文通过定义偏差率从模拟GPS的规范化服务量角度来设计了基于权值动态调整的具有补偿的公平调度算法CFQ。
The algorithm can remove redundant link even nodes on the network, through the network learning step dynamic adjustment to avoid convergence speed of.
该算法能够删除掉冗余的连接甚至节点，通过对网络学习步长的动态调整，避免了算法收敛速度过慢和反复震荡的问题。
The algorithm is suitable for the applied environment owing to its dynamic adjustment of the task assignment according to the changes of network.
算法可根据网络环境的变化动态调整任务分派方案，更适合于实际的应用环境。
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