文档介绍：II互联网中的时延是影响QoS的主要因素。互联网中的排队时延,提高QoS的拥塞控制途径。互联网的时延,网络的特点,提出了集拥塞提前检测和显式拥塞控制于一体的扩展随机提前检测算法(ERED)。该算法结合了主动队列管理和优先级管理以及显式拥塞控制机制,尽可能在不改变现有网络拓扑结构的前提下保证网络的可靠性,互联网上的控制环路提供更好的网络QoS。(5)对于多业务接入,互联网的QoS中间件。利用QoS中间件,互联网中异质流的接入控制,互联网多业务接入提供了良好的机制和途径。协议栈的基础上,智能家居中视频监控为研究对象,给出了流量控制的实现途径和实验。此种方法可以和基于速率的随机提前检测(RPRED)拥塞控制算法相结合,互联网的利用率,互联网的多种信息共享,提供更好的网络QoS。(6)互联网中的任务管理模型,互联网中的任务建模为全局任务和局部任务,互联网的分级任务调度模型。区分全局任务和局部任务,分别提出扩展的最早时限优先(EDF)和扩展的速率单调(RM)算法进行任务调度,并给出了相应的任务可调度测试条件。在实验部分,互联网中的组态管理、任务自动配置以及调度方式进行了测试,互联网任务管理要求的。关键词: 协议网络管理网络服务质量中间件拥塞控制流量控制 is the petitive standard in building automation system control an open and interoperating standard, was released in Jun, 1995, and usedextensively in building automation control field. developed from an institutestandard to an international standard. The applying range of has been developedfrom Building automation control system field to smart home, fire protection, citysurveillance even industry control , with the expanding of applying field,scale of work es more and more large. However, management andquality of service (QoS) of work lags behind. So ’workmanagement, especially performance management is of importance to establish large work and realize its QoS. Combining the study of building automation systemand smart home, the thesis studies the management and QoS of thesis puts forward the concept of to describe the work. According to work management and QoS demand of , the thesis gives the management model worked control system based ( NCS). Through math analysis of NCS’ model, the thesisgives the united state model of NCS based on and sets up the mappingrelationship of quality of control (QoC) work QoS. At the same time, objective andcontent of NCS’ management is given. To enhance the QoS of ,congestion control, traffic control and task management of have beenstudied. The thesis studies the following concept:(1)Function model, control method, system management work management are summarized and