1、

Referencing KPP, this algorithm designed a new path selection function which can balance cost and delay.

该算法改进了KPP算法,设计了代价和时延动态优化的链路选择函数。

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2、

Based on KPP algorithm, an edge selection function is also put forward, which can accomplish integrated optimization of multicast routing.

主要讨论了KPP算法,并在其基础上具体提出了一个链路选择函数,使用这个选择函数的算法能够在组播通信中实现综合优化。

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3、

Experiment results showed that, compared with KPP, multicast trees generated by SBMR were 72% better than that generated by KPP with 13% decrease of cost, and 9% less links invoked.

实验结果表明,与多播路由KPP算法相比,本算法构建的多播树有72%比KPP算法构建的多播树更优,代价降低13%,启用的链路数减少9%,而且CPU时间减少15%。

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4、

KPP Analysis Applied to a Coherent Flame Model

一种新的拟序火焰模型及其KPP分析

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5、

Compared with KPP, this algorithm can construct a multicast tree with lower time complexity, thus can be used for large network to confirm multicast routing conveniently.

与KPP算法相比,DMR算法能够以较低的时间复杂度来构建多播树,从而可以较好地用于求解大型网络的多播路由问题。

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6、

The simulation results show that this algorithm can not only construct delay-constrained multicast tree correctly, but also has a less cost and a lower computational complexity than KPP.

仿真结果表明,该算法能正确地构造出时延约束组播树,同时还具有较低的代价和计算复杂度。

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