Measurement and Analysis of Internet Congestion

Date and time: 
Thursday, November 16, 2017 - 15:30
220 Deschutes
Amogh Dhamdhere
Research Scientist at CAIDA, UC San Diego
  • Ramakrishnan Durairajan


The relentless growth of Internet traffic demands and the growing concentration of content across a few providers have led to capacity issues, which in turn have resulted in high-profile disputes over who should pay for additional capacity at points of interconnection between content providers, transit providers, and access ISPs. The resulting potentially contentious interactions among providers have implications for network stability and performance, leaving the congested link as an externality for all users of the link until the dispute is resolved. This situation has led to recent interest in technical, regulatory, and policy circles in techniques to better understand the nature and location of congestion on the Internet.

In this talk I will present recent work from our Measurement and ANalysis of Internet Congestion (MANIC) project. I will describe a measurement method and system we have developed to map and continuously monitor thousands of interconnection links between networks, with the goal of producing a “congestion heat map” of the Internet. I will present a case study of using our measurements to characterize congestion at African IXPs. Finally, I will briefly discuss our work on using TCP connection statistics to infer whether a TCP flow “self-induced” congestion (e.g., by filling up its access link) or was limited by an already congested link on the end-to-end path (e.g., a congested interconnection link).


Amogh Dhamdhere is a Research Scientist at the Cooperative Association for Internet Data Analysis (CAIDA), based at the University of California, San Diego. Prior to joining CAIDA in 2009, Amogh obtained a Ph.D. in Computer Science from the College of Computing at Georgia Tech. His research mainly focuses on measurement and modeling of Internet topology, traffic, and economics. More recently Amogh has worked on measurement of IPv6 adoption, and building systems for localizing and quantifying interdomain congestion.