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Fuzzy Logic-Based Round Trip Time Scaling and Scheduling in High Speed TCP Stacks

机译:高速TCP协议栈中基于模糊逻辑的往返时间缩放和调度

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Network management and control is a complex problem that requires intelligent, control methodologies to obtain satisfactory performance. Round trip time (RTT) scaling mechanism has been introduced for changing congestion window and to perform congestion control satisfactorily in all circumstances. This paper presents a fuzzy RTT scaling (FRTTS) scheme that performs RTT scaling and RTT scheduling for different high speed transmission control protocol (TCP) networks. In this scheme, RTT samples are allocated requesting application by using RTT scheduling factor and RTT samples are scaled for an application by using RTT scaling factor. A RTT scaler placed at the end node performs the RTT scheduling as well as RTT scaling. We also apply a FRTTS scheme on different high speed TCP's namely high-TCP (H-TCP) and scalable-TCP(S-TCP) and demonstrates that it provides better performance than non fuzzy scheme. The scheme has been extensively simulated to test the performance in terms of flow rate, RTT flows, packet size and congestion window size. The results show that FRTTS scheme provides better performance than non fuzzy scheme which employs dynamic RTT scheduling and RTT scaling.
机译:网络管理和控制是一个复杂的问题,需要智能的控制方法来获得令人满意的性能。引入了往返时间(RTT)缩放机制,用于更改拥塞窗口并在所有情况下都能令人满意地执行拥塞控制。本文提出了一种模糊RTT缩放(FRTTS)方案,该方案针对不同的高速传输控制协议(TCP)网络执行RTT缩放和RTT调度。在此方案中,通过使用RTT调度因子分配RTT样本以请求应用程序,并通过使用RTT缩放因子为应用程序缩放RTT样本。放置在末端节点上的RTT缩放器执行RTT调度以及RTT缩放。我们还将FRTTS方案应用于不同的高速TCP,即高TCP(H-TCP)和可伸缩TCP(S-TCP),并证明它提供了比非模糊方案更好的性能。已经对该方案进行了广泛的仿真,以测试流量,RTT流量,数据包大小和拥塞窗口大小方面的性能。结果表明,FTRTS方案比采用动态RTT调度和RTT缩放的非模糊方案具有更好的性能。

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