NeTS: Small: Do You See What I See: Finding and Measuring Faults in the Internet

NetS：小：你看到我看到的吗：在互联网中查找和测量故障

• 批准号: 1218977
• 负责人: Henning Schulzrinne
• 金额: $ 49.6万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-03-01 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1218977&HistoricalAwards=false
• 关键词: NeTS; Small; Do; See; What

Diagnosing network and network application faults remains one of the most challenging and frustrating aspects of using the Internet, particularly for non-technical users, but also for system administrators. A single VoIP application may depend on half a dozen protocols, and basic network access requires numerous network elements, from wireless access points to authorization servers, to function. On a larger scale, researchers have only anecdotal evidence of the most common network problems and their prevalence. This makes it difficult to use actual Internet experiences to improve existing protocols and implementations.The project proposes a new architecture and system, "Do You See What I See" (DYSWIS), to automate fault finding in residential, mobile, enterprise and data center networks in a systematic, extensible and scalable manner: Using protocol state analysis and packet timing analysis, DYSWIS automatically recognizes when network applications are likely malfunctioning. Leveraging social network graphs, the system finds suitable and mutually-trusting friends whose DYSWIS application can help with finding problems. As necessary, building on a programmable network platform, NetServ, in-network nodes are instantiated and discovered. DYSWIS then attempts to determine the cause of the fault, leveraging network views of other nodes to improve its diagnosis, by remotely invoking active probes at the network, transport and application layer.DYSWIS collects and aggregates statistics about faults and their resolution, allowing researchers and operators to see trends and determine common sources of problems. DYSWIS is designed to be extensible, so that new standardized and proprietary protocols and applications can be added selectively. The project explores how to scale DYSWIS to the Internet, evaluates its effectiveness, and extends it to use a programmable network platform.The project enhances undergraduate and graduate teaching, involves undergraduates in research projects, reaches out to industry and standardization organizations, provides tools and large data sets to researchers, and offers a data gathering platform and data for the benefit of Federal and State telecom regulators.

诊断网络和网络应用程序故障仍然是使用互联网最具挑战性和最令人沮丧的方面之一，特别是对于非技术用户，但也对于系统管理员。 一个VoIP应用程序可能依赖于六个协议，基本的网络访问需要从无线接入点到授权服务器的许多网络元素才能发挥作用。 在更大的范围内，研究人员只有最常见的网络问题及其流行程度的轶事证据。 该项目提出了一种新的架构和系统，“Do You See What I See”（DYSWIS），以系统化、可扩展和可升级的方式自动化住宅、移动的、企业和数据中心网络中的故障查找：使用协议状态分析和数据包定时分析，DYSWIS自动识别网络应用程序何时可能出现故障。 利用社交网络图，该系统找到合适的和相互信任的朋友，其DYSWIS应用程序可以帮助发现问题。 必要时，在可编程网络平台NetServ上构建网络内节点并进行实例化和发现。DYSWIS通过远程调用网络层、传输层和应用层的主动探测器，利用其他节点的网络视图来改进诊断，从而尝试确定故障原因。DYSWIS收集并汇总有关故障及其解决方案的统计数据，使研究人员和操作员能够了解趋势并确定常见问题的来源。DYSWIS的设计是可扩展的，因此可以有选择地添加新的标准化和专有协议和应用程序。 该项目探讨了如何将DYSWIS扩展到互联网，评估其有效性，并将其扩展到使用可编程网络平台。该项目增强了本科生和研究生的教学，让本科生参与研究项目，接触行业和标准化组织，为研究人员提供工具和大型数据集，并为联邦和州电信监管机构提供数据收集平台和数据。