PGM(Probe Gap Model)可用带宽测量方法中探测包对间隔容易受到路径上数据包传输过程中的行为特性等因素的干扰,从而造成对可用带宽的高估或低估.结合理论推导和实验分析,定量分析这些干扰因素对探测包对间隔行为特性的影响,观察这些因...PGM(Probe Gap Model)可用带宽测量方法中探测包对间隔容易受到路径上数据包传输过程中的行为特性等因素的干扰,从而造成对可用带宽的高估或低估.结合理论推导和实验分析,定量分析这些干扰因素对探测包对间隔行为特性的影响,观察这些因素与测量结果精度之间的关联规律,分析得到了一系列有价值的结论,为PGM测量工具的改进与完善提供了依据.展开更多
Packet-pair sampling, also called probe gap model (PGM) is proposed as a lightweight and fast available bandwidth measurement method. But measurement tools based on PGM gives results with great uncertainty in some cas...Packet-pair sampling, also called probe gap model (PGM) is proposed as a lightweight and fast available bandwidth measurement method. But measurement tools based on PGM gives results with great uncertainty in some cases. PGM’s statistical robustness has not been proved. In this paper we propose a more precise statistical model based on PGM. We present the new approach by using probability distribution and statistical parameters. We also investigate the use of a PGM bandwidth evaluation method considering a non-fluid cross traffic and present the alternative approach where the bursty nature of the probed traffic could be taken into account. Based on the model, measurement variance and sample size can be calculated to improve the measurement accuracy. We evaluated the model in a controlled and reproducible environment using NS simulations.展开更多
文摘PGM(Probe Gap Model)可用带宽测量方法中探测包对间隔容易受到路径上数据包传输过程中的行为特性等因素的干扰,从而造成对可用带宽的高估或低估.结合理论推导和实验分析,定量分析这些干扰因素对探测包对间隔行为特性的影响,观察这些因素与测量结果精度之间的关联规律,分析得到了一系列有价值的结论,为PGM测量工具的改进与完善提供了依据.
文摘Packet-pair sampling, also called probe gap model (PGM) is proposed as a lightweight and fast available bandwidth measurement method. But measurement tools based on PGM gives results with great uncertainty in some cases. PGM’s statistical robustness has not been proved. In this paper we propose a more precise statistical model based on PGM. We present the new approach by using probability distribution and statistical parameters. We also investigate the use of a PGM bandwidth evaluation method considering a non-fluid cross traffic and present the alternative approach where the bursty nature of the probed traffic could be taken into account. Based on the model, measurement variance and sample size can be calculated to improve the measurement accuracy. We evaluated the model in a controlled and reproducible environment using NS simulations.
