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Measurement and Analysis of Internet Interconnection and Congestion

16 Pages Posted: 30 Mar 2014 Last revised: 10 Sep 2014

David D. Clark

MIT CSAIL

Steven Bauer

Massachusetts Institute of Technology (MIT) - Laboratory for Computer Science (LCS)

William Lehr

Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

KC Claffy

University of California, San Diego (UCSD)

Amogh D. Dhamdhere

CAIDA/UC

Bradley Huffaker

University of California, San Diego (UCSD) - The Center for Applied Internet Data Analysis (CAIDA)

Matthew Luckie

CAIDA

Date Written: September 9, 2014

Abstract

This paper examines the nature of congestion in the interior of the Internet: its location and its intensity. We present results of a new method for probing the Internet which allows us to detect the presence of congestion on specific links. We are particularly interested in the links that interconnect ISPs, including what are called peering links. There is little data on the extent of congestion across interconnection links, leaving users to wonder if peering links are properly engineered, or whether they are a major source of problems transferring data across the Internet.

Questions about congestion are an important part of the current debates about reasonable network management. Our results suggest that peering connections are properly provisioned in the majority of cases, and the locations of major congestion are associated with specific sources of high-volume flows, specifically from the Content Delivery Networks (CDNs) and dominant content providers such as Netflix and Google. We see variation in the congestion patterns among these different sources that suggests differences in business relationships among them. We argue that a major goal for the industry is to work out methods of cooperation among different ISPs and higher-level services (who may be competitors in the market) so as to jointly achieve cost-effective delivery of data with maximum quality of service and quality of experience. We discuss some of the problems that must be addressed in this coordination exercise, as well as some of the barriers.

Keywords: Internet, congestion, peering, CDN

Suggested Citation

Clark, David D. and Bauer, Steven and Lehr, William and Claffy, KC and Dhamdhere, Amogh D. and Huffaker, Bradley and Luckie, Matthew, Measurement and Analysis of Internet Interconnection and Congestion (September 9, 2014). 2014 TPRC Conference Paper. Available at SSRN: https://ssrn.com/abstract=2417573

David D. Clark (Contact Author)

MIT CSAIL ( email )

Stata Center
Cambridge, MA 02142
United States
617-253-6003 (Phone)

Steven Bauer

Massachusetts Institute of Technology (MIT) - Laboratory for Computer Science (LCS) ( email )

United States

William Lehr

Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL) ( email )

Stata Center
Cambridge, MA 02142
United States

KC C. Claffy

University of California, San Diego (UCSD) ( email )

9500 Gilman Drive
Mail Code 0502
La Jolla, CA 92093-0112
United States

Amogh D. Dhamdhere

CAIDA/UC ( email )

9500 Gilman Drive
Mail Stop 0505
La Jolla, CA 92093-0505
United States

Bradley Huffaker

University of California, San Diego (UCSD) - The Center for Applied Internet Data Analysis (CAIDA) ( email )

9500 Gilman Dr
Mail Stop 0505
La Jolla, CA 92093-0505
United States

Matthew Luckie

CAIDA ( email )

United States

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