SCT P流控制采用一个可执行的特殊的机制：发动高层协议来减少发起者的信令通信量和优先传输某些消息。
The SCTP flow control may, using an implementation specific mechanism, initiate higher layer protocols to reduce the signalling traffic at the source and prioritise certain messages.
实现该信号通信量的高精度预测是提高信息传输速度和提高网络带宽资源利用效率的重要手段，本文提出采用支持向量机网络模型对VBR视频通信量进行预测。
It is the important method to realize the higher precision prediction and improve the utilizing rate. A support vector machine model is proposed to predict the VBR video traffic.
该方案有效地减少了网络中的多播通信量并降低了多播树的维护代价，却没有给多播数据传输带来太大的延迟。
This scheme lessens efficiently multicast traffic in network, and reduces multicast tree maintenance costs, but does not cause multicast data delivery to incur too large delivery delay.
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