文中研究在UMTS网络的AM模式(Acknowledged Mode)下实现基于优先级区分的调度及主动队列管理。提出了MP-SAQM(Multi-priorities Scheduling and Active Queue Management Algorithm)算法。算法将不同的QoS类别归入不同的优先级队列,根据...文中研究在UMTS网络的AM模式(Acknowledged Mode)下实现基于优先级区分的调度及主动队列管理。提出了MP-SAQM(Multi-priorities Scheduling and Active Queue Management Algorithm)算法。算法将不同的QoS类别归入不同的优先级队列,根据MPADRR(Multi-priorities Average Deficit Round Robin)调度算法按照优先级高低进行调度,并对不同QoS类别设置均匀的队列缓冲区,保证了调度的公平性。同时使用差异化的RED(Random Early Drop)算法进行主动队列管理,对不同优先级队列执行不同的丢包策略。仿真结果验证了该算法的有效性。展开更多
为解决网络拥塞问题,实现网络用户的服务区分,提出了一种基于IPv6网络的可区分用户优先级的主动队列管理算法,即优先级区分RED(Random Early Detection)算法。该算法在IPv6基本报头的流标签域中标记用户的优先级,并对不同优先级的数据...为解决网络拥塞问题,实现网络用户的服务区分,提出了一种基于IPv6网络的可区分用户优先级的主动队列管理算法,即优先级区分RED(Random Early Detection)算法。该算法在IPv6基本报头的流标签域中标记用户的优先级,并对不同优先级的数据包进行不同的丢包处理。通过OMNeT++3.2模拟仿真的实验结果表明,基于IPv6网络的优先级区分RED算法能区分用户的优先级,保证了有优先级用户的服务质量。展开更多
片上网络(Network on Chip,NoC)通过仲裁机制控制各个端口间的数据交换。经典的RR(Round-Robin)算法保障了各端口间的公平性,但却难以为时延敏感业务提供具有低数据交换等待时延的QoS保障。为此,提出一种区分优先级并行调度RR(PP-RR)算...片上网络(Network on Chip,NoC)通过仲裁机制控制各个端口间的数据交换。经典的RR(Round-Robin)算法保障了各端口间的公平性,但却难以为时延敏感业务提供具有低数据交换等待时延的QoS保障。为此,提出一种区分优先级并行调度RR(PP-RR)算法,其根据端口数据负载提供区分优先级服务,高优先级端口数据享有更多仲裁成功机会。采用并行调度两级轮控制模型实现了对PP-RR仲裁算法的数学建模,获得了时延性能的数学解析。展开更多
With the popularity of the automatic precipitation gauges in national weather stations,testing their performance and adjusting their measurements are top priorities. Additionally,because different climatic conditions ...With the popularity of the automatic precipitation gauges in national weather stations,testing their performance and adjusting their measurements are top priorities. Additionally,because different climatic conditions may have different effects on the performance of the precipitation gauges, it is also necessary to test the gauges in different areas. This study mainly analyzed precipitation measurements from the single-Altershielded TRwS204 automatic weighing gauge(TRwS_(SA)) relative to the adjusted manual measurements(reference precipitation) from the Chinese standard precipitation gauge in a doublefence wind shield(CSPG_(DF)) in the Hulu watershed in the Qilian Mountains, China. The measurements were compared over the period from August 2014 to July2017, and the transfer function derived from the work by Kochendorfer et al.(2017 a) for correcting windinduced losses was applied to the TRwS_(SA) measurements. The results show that the average loss of TRwS_(SA) measurements relative to the reference precipitation decreased from 0.55 mm(10.7%) to 0.51 mm(9.9%) for rainfall events, from 0.35 mm(8.5%)to 0.22 mm(5.3%) for sleet events, and from 0.49 mm(18.9%) to 0.33 mm(12.7%) for snowfall events after adjustment. The uncorrected large biases of TRwS_(SA) measurements are considered to be mainly caused by specific errors of TRwS_(SA), different gauge orifice area and random errors. These types of errors must be considered when comparing precipitation measurements for different gauge types, especially in the mountains.展开更多
文摘文中研究在UMTS网络的AM模式(Acknowledged Mode)下实现基于优先级区分的调度及主动队列管理。提出了MP-SAQM(Multi-priorities Scheduling and Active Queue Management Algorithm)算法。算法将不同的QoS类别归入不同的优先级队列,根据MPADRR(Multi-priorities Average Deficit Round Robin)调度算法按照优先级高低进行调度,并对不同QoS类别设置均匀的队列缓冲区,保证了调度的公平性。同时使用差异化的RED(Random Early Drop)算法进行主动队列管理,对不同优先级队列执行不同的丢包策略。仿真结果验证了该算法的有效性。
文摘为解决网络拥塞问题,实现网络用户的服务区分,提出了一种基于IPv6网络的可区分用户优先级的主动队列管理算法,即优先级区分RED(Random Early Detection)算法。该算法在IPv6基本报头的流标签域中标记用户的优先级,并对不同优先级的数据包进行不同的丢包处理。通过OMNeT++3.2模拟仿真的实验结果表明,基于IPv6网络的优先级区分RED算法能区分用户的优先级,保证了有优先级用户的服务质量。
文摘片上网络(Network on Chip,NoC)通过仲裁机制控制各个端口间的数据交换。经典的RR(Round-Robin)算法保障了各端口间的公平性,但却难以为时延敏感业务提供具有低数据交换等待时延的QoS保障。为此,提出一种区分优先级并行调度RR(PP-RR)算法,其根据端口数据负载提供区分优先级服务,高优先级端口数据享有更多仲裁成功机会。采用并行调度两级轮控制模型实现了对PP-RR仲裁算法的数学建模,获得了时延性能的数学解析。
基金supported primarily by the National Basic Research Program of China (2013CBA01806)the National Natural Sciences Foundation of China (41671029, 41690141, 41401040 and 41501040)
文摘With the popularity of the automatic precipitation gauges in national weather stations,testing their performance and adjusting their measurements are top priorities. Additionally,because different climatic conditions may have different effects on the performance of the precipitation gauges, it is also necessary to test the gauges in different areas. This study mainly analyzed precipitation measurements from the single-Altershielded TRwS204 automatic weighing gauge(TRwS_(SA)) relative to the adjusted manual measurements(reference precipitation) from the Chinese standard precipitation gauge in a doublefence wind shield(CSPG_(DF)) in the Hulu watershed in the Qilian Mountains, China. The measurements were compared over the period from August 2014 to July2017, and the transfer function derived from the work by Kochendorfer et al.(2017 a) for correcting windinduced losses was applied to the TRwS_(SA) measurements. The results show that the average loss of TRwS_(SA) measurements relative to the reference precipitation decreased from 0.55 mm(10.7%) to 0.51 mm(9.9%) for rainfall events, from 0.35 mm(8.5%)to 0.22 mm(5.3%) for sleet events, and from 0.49 mm(18.9%) to 0.33 mm(12.7%) for snowfall events after adjustment. The uncorrected large biases of TRwS_(SA) measurements are considered to be mainly caused by specific errors of TRwS_(SA), different gauge orifice area and random errors. These types of errors must be considered when comparing precipitation measurements for different gauge types, especially in the mountains.
