On-line Estimation for ATM Networks

ATM网络在线评估

• 批准号: 9628818
• 负责人: Jean Walrand
• 金额: $ 37.1万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-09-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9628818&HistoricalAwards=false
• 关键词: line; Estimation; ATM; Networks

The principal investigator will develop on-line statistical techniques for the operations and management of ATM networks. The statistical techniques include: estimating the quality of service, estimating the spare resources, and improving network operations. The motivation for this work is: 1) user-network contracts specify a quality of service that is difficult to verify and 2) the network needs to monitor its performance in real time to improve its operations. Some users will want to monitor the QoS that the network provides. For instance, if the user is a service reseller, he may want to protect himself against complaints from subscribers. Similarly, the network will use such monitoring for quality control and also for improving its operations. Given the likely penetration of ATM networks, improving the operations and management of these networks is an important objective. The statistical properties of quality of service estimators are difficult to analyze on realistic models. Consequently, this research will combine analysis, simulation, and actual experiments to develop the on-line techniques.

首席研究员将为ATM网络的操作和管理开发联机统计技术。 统计技术包括：估计服务质量、估计空闲资源以及改进网络运营。 这项工作的动机是：1）用户网络合同规定的服务质量是难以验证和2）网络需要监测其性能在真实的时间，以改善其操作。 有些用户希望监控网络提供的QoS。 例如，如果用户是服务提供商，他可能希望保护自己免受订户的投诉。 同样，该网络将利用这种监测进行质量控制，并改进其业务。 考虑到ATM网络的可能渗透，改进这些网络的操作和管理是一个重要的目标。 服务质量估计器的统计特性很难在现实模型上进行分析。 因此，本研究将结合联合收割机分析、模拟与实际实验，以发展线上技术。