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引用次数: 22
摘要
QoS (Quality of Services)是对网络中数据传输质量和业务可用性的度量,旨在保持数据,特别是对延迟敏感的数据(如VoIP)在网络中以所需的质量传输。各大网络设备制造商各自开发了自己的智能动态QoS解决方案,如思科支持的AutoQoS、Netgear设备支持的CoS (Class of Service)、惠普提供的SROS (Secure Router Operating System)上的QoS Maps等,以维持网络流量的服务水平。此类智能QoS解决方案通常只适用于制造合格的设备,否则只能应用预定义的静态策略映射。本文提出了一种基于差分服务(DiffServ)方法的动态QoS解决方案,该方案通过调整网络数据包IP头中的差分服务码点(DSCP)的值来实时修改数据包的优先级。通过考虑当前网络延迟、应用期望优先级和用户当前优先级组,建立具有稀疏规则库的0阶TSK模糊模型来实现这一目标。DSCP值由TSK模糊模型动态生成并实时更新。该系统已在实际网络环境中进行了评估,取得了令人满意的结果。
Dynamic QoS solution for enterprise networks using TSK fuzzy interpolation
The Quality of Services (QoS) is the measure of data transmission quality and service availability of a network, aiming to maintain the data, especially delay-sensitive data such as VoIP, to be transmitted over the network with the required quality. Major network device manufacturers have each developed their own smart dynamic QoS solutions, such as AutoQoS supported by Cisco, CoS (Class of Service) by Netgear devices, and QoS Maps on SROS (Secure Router Operating System) provided by HP, to maintain the service level of network traffic. Such smart QoS solutions usually only work for manufacture qualified devices and otherwise only a pre-defined static policy mapping can be applied. This paper presents a dynamic QoS solution based on the differentiated services (DiffServ) approach for enterprise networks, which is able to modify the priority level of a packet in real time by adjusting the value of Differentiated Services Code Point (DSCP) in Internet Protocol (IP) header of network packets. This is implemented by a 0-order TSK fuzzy model with a sparse rule base which is developed by considering the current network delay, application desired priority level and user current priority group. DSCP values are dynamically generated by the TSK fuzzy model and updated in real time. The proposed system has been evaluated in a real network environment with promising results generated.