CAREER: Adaptive Admission Control for Broadband Communication

这项研究将制定和开发一种控制 在宽带通信网络上承载的业务，特别是 携带不同的真实的流量源的情况下，难以建模， 分析地震属性;源间相关性;缓变 统计特性;多种异质源类型;错误指定 流量描述符;以及无意的网络流量整形。重点是 当业务源被给予服务质量保证时的情况 并且目标是最大化网络资源的利用。该方法 基于统计分类技术，使用历史数据作为 什么是可接受的承载业务组合，什么是不可接受的。 解决的问题包括有效的表示和存储 历史数据;分类器模型的选择和修改策略; 数据上的噪声;决策的置信区间;定向和 对决策空间的无方向探索;过滤掉无信息 数据;和实现。方法的有效性和优点 开发将实验测试对替代方法， 简单的模型和真实的流量跟踪，例如以太网数据;可变速率 视频和ISDN流量。

This research will formulate and develop a method for controlling the traffic carried on a broadband communication network, specifically for the case of carrying diverse real traffic sources with difficult to model and analyze queueing properties; inter-source correlation; slowly varying statistical properties; diverse heterogeneous source types; mis-specified traffic descriptors; and inadvertent network traffic shaping. The focus is the case when the traffic sources are given quality of service guarantees and the goal is to maximize utilization of network resources. The method is based on statistical classification techniques that use historical data as to what were acceptable combinations of carried traffic and what were not. Problems addressed include efficient representation and storage of historical data; choice and modification strategy of classifier model; noise on the data; confidence intervals on decisions; directed and undirected exploration of the decision space; filtering out uninformative data; and implementations. The effectiveness and advantages of the methods developed will be experimentally tested against alternative methods on simple models and real traffic traces such as ethernet data; variable rate video; and ISDN traffic.