NeTS: Small: Internet Congestion Control Census

NetS：小型：互联网拥塞控制普查

• 批准号: 1017561
• 负责人: Lisong Xu
• 金额: $ 45万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017561&HistoricalAwards=false
• 关键词: NeTS; Small; Internet; Congestion; Control

The Internet has recently been evolving from homogeneous congestion control to heterogeneous congestion control. Five years ago, Internet traffic was mainly controlled by the standard TCP AIMD algorithm, whereas Internet traffic is now controlled by many different congestion control algorithms. However, there is very little work on the performance and stability study of the Internet with heterogeneous congestion control. One fundamental reason is the lack of the deployment information of different congestion control algorithms. Motivated by the increasing number of public, private, and proprietary congestion control algorithms deployed in the Internet and the lack of the information about the heterogeneous Internet, the goals of this project are to 1) design methodologies and tools for identifying the congestion control algorithms and related parameters of Internet nodes and flows, and 2) conduct large scale comprehensive measurements for identifying and evaluating the congestion control algorithms in the heterogeneous Internet. As an analogy, if we consider the Internet as a country, an Internet node as a house and a congestion control algorithm running at a node as a person living at a house, this project is to conduct a population census in the country of the Internet. Just like the population census is vital for the study and planning of the society, the proposed congestion control census is vital for the study and planning of the Internet. The expected results of this project include methodologies and tools for identifying congestion control algorithms, and a congestion control census database containing measurement results.

近年来，互联网的拥塞控制已经从同构拥塞控制发展到异构拥塞控制。五年前，Internet流量主要由标准TCP AIMD算法控制，而现在Internet流量由许多不同的拥塞控制算法控制。然而，有很少的工作，对互联网的性能和稳定性的研究与异构拥塞控制。一个根本原因是缺乏不同拥塞控制算法的部署信息。 由于互联网上部署的公共、私有和专有拥塞控制算法越来越多，而异构互联网的相关信息却非常缺乏，本项目的目标是：1）设计用于识别互联网节点和流的拥塞控制算法和相关参数的方法和工具，2）对异构互联网中的拥塞控制算法进行大规模的综合测量，以识别和评估拥塞控制算法。打个比方，如果我们把互联网看作一个国家，把互联网节点看作一所房子，把在节点上运行的拥塞控制算法看作一个住在房子里的人，那么这个项目就是在互联网的国家进行人口普查。就像人口普查对于社会的研究和规划至关重要一样，拟议中的拥塞控制普查对于互联网的研究和规划至关重要。该项目的预期成果包括确定拥塞控制算法的方法和工具，以及包含测量结果的拥塞控制普查数据库。