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Center for Applied Internet Data Analysis > publications : papers : 2015 : server_server_view_internet
A Server-to-Server View of the Internet
B. Chandrasekaran, G. Smaragdakis, A. Berger, M. Luckie, and K. Ng, "A Server-to-Server View of the Internet", in ACM SIGCOMM Conference on emerging Networking EXperiments and Technologies (CoNEXT), Dec 2015.
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A Server-to-Server View of the Internet

Balakrishnan Chandrasekaran3
Georgios Smaragdakis1, 4, 5
Arthur Berger1, 4
Matthew Luckie2, 6
Keung-Chi Ng1



CAIDA, San Diego Supercomputer Center, University of California San Diego


Duke University


Massachusetts Institute of Technology's Computer Science & Artificial Intelligence Laboratory (MIT/CSAIL)


TU Berlin


University of Waikato

While the performance characteristics of access networks and end-user-to-server paths are well-studied, measuring the performance of the Internet's core remains, largely, an uncharted territory. With more content being moved closer to the end-user, server-to-server paths have increased in length and have a significant role in dictating the quality of services offered by content and service providers. In this paper, we present a large-scale study of the effects of routing changes and congestion on the end-to-end latencies of server-to-server paths in the core of the Internet.

We exploit the distributed platform of a large content delivery network, composed of thousands of servers around the globe, to assess the performance characteristics of the Internet’s core. We conduct measurement campaigns between thousands of server pairs, in both forward and reverse directions, and analyze the performance characteristics of server-to-server paths over both long durations (months) and short durations (hours). Our analyses show that there is a large variation in the frequency of routing changes. While routing changes typically have marginal or no impact on the end-to-end round-trip times (RTTs), 20% of them impact IPv4 (IPv6) paths by at least 26 ms (31 ms). We highlight how dual-stack servers can be utilized to reduce server-to-server latencies by up to 50 ms. Our results indicate that significant daily oscillations in end-to-end RTTs of server-to-server paths is not the norm, but does occur, and, in most cases, contributes about a 20 ms increase in server-to-server path latencies.

Keywords: active data analysis, congestion, data, ipv6, measurement methodology, routing, topology
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