NSF International Research Network Connections Program (IRNC) has funded five projects to provide network connections linking U.S. research networks with peer networks in other parts of the world. As a recipient of one of the NSF-funded INRC Special Projects ("Sustainable data-handling and analysis methodologies for the IRNC networks"), the Cooperative Association for Internet Data Analysis (CAIDA) at the University of California San Diego is tasked with upgrading traffic reporting software, manage IPv6-capable active measurement nodes, and innovate data-handling procedures to IRNC measurement data.
IRNC Wiki on CAIDA
The NSF International Research Network Connections Program (IRNC) supports international research network connections across three areas:
- Production Network Environments (IRNC-ProNet);
- Experimental networking activities in support of cyber-science applications (IRNC-Exp); and
- Special Projects including advanced network development, deployment, security, monitoring, and other approaches (IRNC-SP).
CAIDA once hosted an IRNC Wiki (now offline) that described in more detail the IRNC-SP that CAIDA is involved in, namely, "Sustainable data-handling and analysis methodologies for the IRNC networks"), contains deployment notes and information, and reviews how it fits among other IRNC-SPs and how they fit in with the IRNC ProNet sites.
Project Summary - IRNC-SP: Sustainable data-handling and analysis methodologies for the IRNC networks
Effective Internet measurement raises daunting issues for the research community and funding agencies. Improved understanding of the structure and dynamics of Internet topology, routing, workload, performance, and vulnerabilities remain a disturbingly elusive priority, in part for lack of large-scale distributed network measurements available to scientific researchers. Ironically, even the research community networks struggle to make progress on these essential obstacles to cyberinfrastructure research. The data dearth is understandable. 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. CAIDA has been navigating these challenges with modest success for fifteen years, collecting, coordinating, curating, and sharing data sets for the Internet research and operational community in support of Internet science.
We propose three concrete contributions to the IRNC community's measurement efforts: to foster and distill discussion of how to best make IRNC data and statistics available, to adapt two CAIDA measurement technologies for IRNC community needs, and to experiment with two innovations in data-handling procedures applied to existing IRNC measurements. We will accomplish the first task by organizing and hosting a series of workshops, including half-day workshops at IRNC PI meetings to discuss IRNC measurement priorities and identify how CAIDA and other researchers can support them. In between IRNC PI meetings we will have 2-day annual workshops dedicated to measurement activities, to build on and extend previous efforts of the IRNC measurement group and explore in depth how the community can make better use of perfSONAR, metadata, and other data-handling and data-protection technologies.
Second, we propose to improve two CAIDA measurement technologies we already know can better serve the IRNC community: (1) We will upgrade our traffic reporting software to be IRNC-friendlier, by adding functionality to recognize IPv6 and DNSSEC, support anonymization and aggregation for privacy protection, and read data formats used by the majority of the IRNC operators, such as netflow output from routers. (2) We will (optionally) install, deploy, and manage IPv6-capable active measurement nodes at each interested IRNC site. IPv6 Internet reachability measurements are of particular interest since available data suggests the educational and government-supported communities are deploying IPv6 before the commercial sector.
Third, we propose to apply two innovations in data-handling procedures to existing IRNC measurement data. The first is a recently proposed framework for privacy-sensitive data sharing, to apply to data not appropriate for public posting, but explicitly requested through designated channels to use in clearly defined research. Second, we propose to illustrate our community building effort with a landmark reporting deliverable: a prototype of a "Bureau of Internet Statistics" report, hopefully inspiring other network infrastructure communities to join in this effort.
Intellectual merit: The proposed work will help IRNC operators better understand their networks by making more effective use of data they already collect as well as newer technologies for measurement and visibility of their networks. The data, tools, and distillations resulting from this effort will be made available to researchers using a privacy-sensitive sharing framework and will advance research in a number of sub-disciplines of network science.
Broader impact: Contributions from this project promise to strengthen 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.