MANIC Project Overview
The MANIC project -- Measurement and Analysis of Interdomain Congestion -- has developed a prototype system to monitor interdomain links and their congestion state, in order to provide empirical grounding to debates related to interdomain congestion. Its dataset is collected using the Time-Sequence Latency Probing (TSLP) method from Ark Vantage points, after running the bdrmap algorithm to automatically infer the IP links (the near IP and far IP addresses) interconnecting neighboring Autonomous Systems (ASNs). We will soon integrate MANIC with CAIDA's AS Rank platform to allow more complex queries of the Internet's interconnection infrastructure.
Time-Sequence Latency Probing (TSLP) method
Consider two neighboring networks ISP A and ISP B, interconnected by interdomain link A-B of interest. The corresponding physical link interconnects the edge ("near") router located at the border of ISP A with the edge ("far") router at the border of ISP B (see figure). The TSLP process probes a destination "behind" the interdomain link with TTL set to expire respectively at the near and the far ends of the link. Repeating this operation periodically yields an RTT timeseries for both sides of the link. When the buffer occupancy at the interdomain link increases, RTTs to the far end increase, which indicates evidence of congestion on the interdomain link.
MANIC web service
Publications
- A. Dhamdhere, D. D. Clark, A. Gamero-Garrido, M. Luckie, R. Mok, G. Akiwate, K. Gogia, V. Bajpai, A. C. Snoeren, and K. C. Claffy, Inferring Persistent Interdomain Congestion, ACM SIGCOMM 2018, Aug 2018.
Awarded best paper at SIGCOMM 2018 - D. D. Clark, A. Dhamdhere, K. C. Claffy, M. Luckie, and A. Gamero-Garrido, Policy Implications of Third-Party Measurement of Interdomain Congestion on the Internet, TPRC 45: Research Conference on Communication, Information and Internet Policy, Mar 2018.
- R. Fanou, F. Valera, and A. Dhamdhere, Investigating the Causes of Congestion on the African IXP Substrate, ACM Internet Measurement Conference (IMC), Nov 2017, pp. 57-63.
- S. Sundaresan, M. Allman, A. D. Dhamdhere, and K. C. Claffy, TCP congestion signatures, ACM Internet Measurement Conference (IMC), Nov 2017, pp. 64-77.
- S. Sundaresan, X. Deng, Y. Feng, D. Lee, and A. Dhamdhere, Challenges in inferring internet congestion using throughput measurements, ACM Internet Measurement Conference (IMC), Nov 2017, pp. 43-56.
- M. Luckie, A. Dhamdhere, B. Huffaker, D. D. Clark, and K. C. Claffy, bdrmap: inference of borders between IP networks, ACM Internet Measurement Conference (IMC), 2016, pp. 381-396.
- K. C. Claffy, D. D. Clark, S. Bauer, and A. Dhamdhere, Policy Challenges in Mapping Internet Interdomain Congestion, TPRC 44: Research Conference on Communication, Information and Internet Policy, Oct 2016.
- A. Dhamdhere, M. Luckie, D. D. Clark, and K. C. Claffy, Measuring Interdomain Congestion and its Impact on QoE, NSF/FCC Workshop on Tracking Quality of Experience in the Internet, Oct 2015.
- M. Luckie, A. Dhamdhere, D. D. Clark, and B. Huffaker, Challenges in inferring internet interdomain congestion, ACM Internet Measurement Conference (IMC), Nov 2014, pp. 15-22.
- D. D. Clark, S. Bauer, W. Lehr, K. C. Claffy, A. Dhamdhere, B. Huffaker, and M. Luckie, Measurement and analysis of Internet interconnection and congestion, TPRC 42: Research Conference on Communication, Information and Internet Policy, Sep 2014.
Presentations
- Investigating the Causes of Congestion on the African IXP substrate, AFRINIC-29, Nov 2018.
- Measurement and Analysis of Internet Congestion (MANIC), Workshop on Active Internet Measurements (AIMS), Mar 2018.
Feedback
Please send e-mail to manic-info@caida.org with any questions and requests for account on the MANIC system.
Funding support
Support for the Measurement and ANalysis of Internet Congestion project is provided by the Department of Homeland Security (DHS) cooperative agreement FA8750-18-2-0049 Advancing Scientific Study of Internet Security Topological Stability and S&T contract HHSP 233201600012C Science of Internet Security: Technology and Experimental Research and the National Science Foundation (NSF) grants CNS-1414177 Mapping Interconnection in the Internet: Colocation, Connectivity Congestion, CNS-1513283 Internet Laboratory for Empirical Network Science: Next Phase, CNS-1705024 Investigating the Susceptibility of the Internet Topology to Country-level Connectivity Disruption Manipulation, and OAC-1724853 Integrated Platform for Applied Network Data Analysis. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DHS, NSF, or the U.S. Government.