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Center for Applied Internet Data Analysis
Measurement and ANalysis of Internet Congestion (MANIC)

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.

TSLP method

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




Please send e-mail to with any questions and requests for account on the MANIC system.

Funding support

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.

  Last Modified: Wed Mar-20-2019 10:11:41 PDT
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