Collaborative Research: CNS Core: Medium: A Traffic Map for the Internet

合作研究：CNS 核心：媒介：互联网流量地图

• 批准号: 2212480
• 负责人: John Heidemann
• 金额: $ 39.8万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212480&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

To understand the impact of Internet events---attacks, outages, degraded performance, or newly deployed infrastructure---one must understand how they affect peoples' use of Internet services. Researchers, network and service operators, regulators, policy makers, and economists need a map of what portion of Internet use depends on the networks, routes, and servers impacted by the events: an Internet traffic map.Such a traffic map will inform other networking researchers by providing context to interpret measurement results and proposed improvements, ultimately contributing to improving the Internet for everyone. An Internet traffic map will also help regulators, policy makers, and economists assess the societal impact of networking outside computer science.Decades of network research have studied components related to---but distinct from---a traffic map, including the autonomous system (AS) and router-level topologies, Internet exchange points (IXPs), content distribution network (CDN) deployments, and general traffic matrices. Internet service providers (ISPs) and content providers have their own, high-quality views of their part of the Internet traffic map, but business- and customer-sensitivities prevent public release. This project’s goal is to provide a sharable, trusted traffic map. This map traffic will be quantified—with estimates of error; broad—with estimates of completeness; and sustainable—with regular updates. This project proposes to meet this need by:• Measuring a traffic map that identifies which networks host Internet users and where popular services deploy servers for popular services, the paths between users and services, and relative activity levels on those paths. This map must be derived from replicable approaches and open data so it can be shared. Doing so will require developing new techniques. • Evaluating the accuracy of this map by comparing multiple, independent methods, and testing against external information. Comparison against accurate but privileged information will establish confidence in open-source techniques. • Providing regularly-updated maps to the research community and tools that allow others to create their own maps.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

要了解互联网事件的影响-攻击、中断、性能下降或新部署的基础设施-必须了解它们如何影响人们对互联网服务的使用。研究人员、网络和服务运营商、监管机构、政策制定者和经济学家需要一张互联网使用比例取决于受事件影响的网络、路由和服务器的地图：互联网流量地图。这样的流量地图将通过提供上下文来向其他网络研究人员提供信息，以解释测量结果和提出的改进建议，最终为改善每个人的互联网做出贡献。互联网流量图还将帮助监管机构、政策制定者和经济学家评估计算机科学之外的联网的社会影响。大量网络研究研究了与流量图相关但与之不同的组件，包括自治系统(AS)和路由器级拓扑、互联网交换点(IXP)、内容分发网络(CDN)部署和一般流量矩阵。互联网服务提供商(ISP)和内容提供商有自己的高质量互联网流量地图部分的视图，但商业和客户敏感性阻碍了公开发布。该项目的目标是提供一个可共享的、可信任的交通地图。这一地图流量将被量化--估计误差；广泛--估计完整性；以及可持续--定期更新。该项目建议通过以下方式满足这一需求：·测量流量图，确定哪些网络托管互联网用户，哪些流行服务部署流行服务的服务器，用户和服务之间的路径，以及这些路径上的相对活跃度。这张地图必须从可复制的方法和开放数据中派生出来，才能共享。要做到这一点，将需要开发新的技术。·通过比较多种独立的方法，并对照外部信息进行测试，评估这张地图的准确性。与准确但有特权的信息进行比较将建立对开放源码技术的信心。·向研究社区提供定期更新的地图和工具，允许其他人创建自己的地图。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Inferring Changes in Daily Human Activity from Internet Response

从互联网响应推断人类日常活动的变化

• DOI: 10.1145/3618257.3624796
• 发表时间: 2023
• 期刊: ACM
• 作者: Song, Xiao;Baltra, Guillermo;Heidemann, John
• 通讯作者: Heidemann, John