This page describes the Measurement and ANalysis of Internet Congestion (MANIC) project and web service.
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
- 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.
- 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.
Please send e-mail to firstname.lastname@example.org with any questions and requests for account on the MANIC system.
Support for the MANIC project is provided by the National Science Foundation (NSF) grants NSF CNS-1414177 Mapping Interconnection in the Internet: Colocation, Connectivity and Congestion, NSF OAC-1724853 Integrated Platform for Applied Network Data Analysis, NSF CNS-1513283 Internet Laboratory for Empirical Network Science: Next Phase, and Department of Homeland Security S&T HHSP 233201600012C Science of Internet Security: Technology and Experimental Research and FA8750-18-2-0049 Advancing Scientific Study of Internet Security and Topological Stability.