NeTS-NR: Next Generation Protocol Design Using Quantitative Methods

NeTS-NR：使用定量方法的下一代协议设计

• 批准号: 0435437
• 负责人: Mary Vernon
• 金额: $ 27万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0435437&HistoricalAwards=false
• 关键词: NeTS; NR; Next; Generation; Protocol

This project is designing new application and network transport protocols as well as improved workload characterizations and models for evaluating the protocols. In the domain of workload characterization, the project is evaluating and extending a new method for network traffic characterization called Bayesian Block (BB) analysis that is significantly more accurate than previous methods for estimating the time-varying rate of bursty event processes, such as packet losses in a network flow, packet or flow arrivals to a gateway or end host in the network, or requests arriving to a network service. Anticipated results include (a) more precise and accurate characterizations of these network event processes, (b) more precise and realistic synthetic workload models for network flows, and (c) extensions to the BB analysis method to improve its accuracy. The project is also investigating more precise and accurate peer-to-peer workload characterizations that can be used in the design of improved peer-to-peer applications. In the domain of protocol design, the project is investigating (a) new near-optimal download protocols from multiple (peer-to-peer) servers, and (b) exploratory design of new transport protocols. The new transport protocols employ forward error correction to recover from packet loss as well as BB analysis at the receiver to determine when to send feedback to the sender regarding observed packet loss rate for use in regulating the rate the packets are sent to the receiver.

该项目正在设计新的应用程序和网络传输协议，以及改进的工作负载特性和评估协议的模型。 在工作负载表征领域，该项目正在评估和扩展一种称为贝叶斯块（BB）分析的网络流量表征新方法，该方法比以前用于估计突发事件过程的时变速率的方法更准确，例如网络流中的数据包丢失，数据包或流到达网络中的网关或终端主机，或到达网络服务的请求。 预期的结果包括：（a）更精确和准确的表征这些网络事件的过程，（B）更精确和现实的网络流的合成工作负载模型，以及（c）扩展BB分析方法，以提高其准确性。 该项目还在研究更精确和准确的对等工作量特征，可用于设计改进的对等应用程序。 在协议设计领域，该项目正在研究（a）从多个（对等）服务器的新的接近最佳的下载协议，以及（B）新的传输协议的探索性设计。 新的传输协议采用前向纠错来从分组丢失中恢复，以及在接收器处采用BB分析来确定何时向发送器发送关于观测到的分组丢失率的反馈，以用于调节分组被发送到接收器的速率。