IRNC-SP: Sustainable Data-Handling and Analysis Methodologies for the IRNC Networks

与大多数科学学科的测量相比，运营互联网基础设施的测量涉及更复杂和相互关联的维度（物流，财务，方法，技术，法律的和道德）。 这些挑战阻碍了数据集的收集、协调、管理和共享以支持网络架构、工程、安全和运营研究。该项目将为IRNC社区的测量工作做出三个贡献：主持关于如何最有效地共享IRNC数据和统计数据的结构化讨论;根据所产生的反馈调整现有的流量和拓扑测量技术以满足IRNC社区的需求;并将数据管理方面的两项创新应用于IRNC测量。测量软件的改进将包括支持新兴的IPv6和DNSSEC，隐私保护的匿名化和聚合，以及大多数IRNC运营商使用的数据格式，例如路由器的网络流输出。 它还将（可选地）在每个感兴趣的IRNC站点安装，部署和管理支持IPv6的活动测量节点。 数据管理的贡献包括：（1）对最近开发的隐私敏感数据共享框架进行试验;以及（2）原型化传播该项目将帮助IRNC运营商更好地了解其网络，并将提高网络科学若干分支学科研究人员可用数据的数量和质量。这些影响包括加强网络建模、仿真、分析和理论研究方面的活动，使IRNC计划能够在新兴的网络科学学科中发挥形成性作用，并加强NSF在网络基础设施可持续管理方面的领导作用。

Measurement of operational Internet infrastructure involves navigating more complex and interconnected dimensions (logistical, financial, methodological, technical, legal, and ethical) than measurement in most scientific disciplines. These challenges impede the collection, coordination, curation, and sharing of data sets to support network architectural, engineering, security, and operations research.This project will make three contributions to the IRNC community's measurement efforts: hosting structured discussions of how to most effectively share IRNC data and statistics; adapting exiting traffic and topology measurement technologies for IRNC community needs based on the resulting feedback; and applying two innovations in data stewardship to IRNC measurements. The measurement software improvements will include support for emerging IPv6 and DNSSEC, anonymization and aggregation for privacy protection, and data formats used by the majority of the IRNC operators, such as netflow output from routers. It will also (optionally) install, deploy, and manage IPv6-capable active measurement nodes at each interested IRNC site. The data stewardship contributions include: (1) experimentation with a recently developed framework for privacy-sensitive data sharing; and (2) prototyping a dissemination (reporting) format aimed at incenting broader participation in globally coordinated Internet measurements.The project will help IRNC operators better understand their networks, and will advance the quantity and quality of data available to researchers in a number of sub-disciplines of network science. The impacts include strengthening activities in network modeling, simulation, analysis, and theoretical research, enabling the IRNC program to play a formative role in the emerging discipline of network science, and enhancing NSF's leading role in sustainable stewardship of cyberinfrastructure.