Funding source: NSF CNS-1513283. Period of performance: August 15, 2015 - July 31, 2018.
The opacity of the Internet infrastructure limits the capability of research and development efforts to model network behavior and topology, design protocols and/or new architectures, and study real-world properties such as robustness, resilience, and economics. Overcoming these limitations is impossible without realistic and representative datasets, and measurement infrastructure on which to support sustained longitudinal measurements as well as new experiments.
With previous CRI (and DHS) funding we have designed, implemented, deployed, and operated a secure measurement platform, Archipelago (Ark), that supports large-scale active measurement studies of the global Internet. Since 2007 Archipelago has gathered the largest set of network topology data used for a broad spectrum of scientific research, from physics to biology, from infrastructure vulnerability assessments to theory of complex networks.
- Deploy a new hardware architecture that expands the scale and manageability of the infrastructure
- Integrate recent measurement technology advances to enable fundamentally new scientific experiments and data sets
- Upgrade the functionality of our measurement-on-demand web interface to the Ark platform to enable richer scheduling of more complex measurements
- Create a new interface for browsing, querying, and visualizing the data gathered.
Improving data curation and implementing a user-friendly web-based interface to the data products require significant software and systems experience, resources, and domain knowledge, and it is exactly the sort of activity researchers do not have resources to do themselves. The results of our project will support CISE research by enabling new data products that are more compelling than before to a wide range of Internet and network research disciplines: from empirical assessments of global Internet security and stability vulnerabilities, to scientific modeling and mapping of complex networks, to retrospective and prospective studies of network architecture evolution.
|Task 1: Expanding Ark infrastructure||ongoing, every year|
|1.1||Acquire 50-60 Raspberry Pi's (30-40 in Year 3), prepare for deployment||ongoing|
|1.2||Identify and attract new hosting sites||ongoing|
|1.3||Deliver monitors to hosting sites, help deploying if necessary||ongoing|
|1.4||Replace obsolete or failing monitors||ongoing|
|1.5||Acquire and put in production new Ark compute server||Year 1, Q2||done|
|1.6||Enable remote management of Ark monitors||ongoing|
|1.7||Deploy RADclock on Raspberry Pi monitors||Year 2, Q2|
|Task 2: Integrating recent measurement and analysis advances into Ark||Years 1 & 2|
|2.1||Deploy prefixscan measurement technique to identify third-party artifact addresses in traceroutes|
|2.2||Infer AS peering links across IX address space||Year 1, Q3||done|
|2.3||Improve techniques to infer router ownership, operationalize it into ITDK||Year 2, Q1||in progress|
|Task 3: Developing user-friendly interface for conducting measurements||Years 2 & 3|
|3.1||Enable triggered probing on demand (i.e., for IODA)||Year 2, Q2|
|3.2||Develop interface to additional scamper measurement capabilities: MDA traceroute||Year 2, Q2|
|3.3||Implement a new visualization mode highlighting incongruities between AS paths derived from BGP and traceroutes||Year 3|
|3.4||Improve an interactive web interface to Vela based on users' experience and feedback||Year 3||in progress|
|Task 4: Developing rich interface for browsing and querying collected data||Years 1, 2, 3|
|4.1||Develop prototype interface for browsing collected data||Year 1||done|
|4.2||Develop prototype interface for querying collected data||Year 2||done|
|4.3||Improve interactive access to collected data based on users' experience and feedback||Year 3|
|Task 5: Communal and collaborative activities||ongoing|
|5.1||Produce new ITDKs||every 3 to 6 months|
|5.2||Organize AIMS workshop and publish report||every year||2016|
|5.3||Support researchers using Ark, collect and answer their feedback||ongoing|