Internet Performance from Facebook’s Edge

Internet Measurement Conference (IMC)


We examine the current state of user network performance and opportunities to improve it from the vantage point of Facebook, a global content provider. Facebook serves over 2 billion users distributed around the world using a network of PoPs and interconnections spread across 6 continents. In this paper, we execute a large-scale, 10-day measurement study of metrics at the TCP and HTTP layers for production user traffic at all of Facebook’s PoPs worldwide, collecting performance measurements for hundreds of trillions of sampled HTTP sessions. We discuss our approach to collecting and analyzing measurements, including a novel approach to characterizing user achievable goodput from the server side. We find that most user sessions have MinRTT less than 39ms and can support HD video. We investigate if it is possible to improve performance by incorporating performance information into Facebook’s routing decisions; we find that default routing by Facebook is largely optimal. To our knowledge, our measurement study is the first characterization of user performance on today’s Internet from the vantage point of a global content provider.

Related Publications

All Publications

ESEM - September 23, 2021

Measurement Challenges for Cyber Cyber Digital Twins: Experiences from the Deployment of Facebook’s WW Simulation System

Kinga Bojarczuk, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Simon Mark Lucas, Erik Meijer, Rubmary Rojas, Silvia Sapora

Federated Learning for User Privacy and Data Confidentiality Workshop At ICML - July 24, 2021

Federated Learning with Buffered Asynchronous Aggregation

John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael Rabbat, Mani Malek, Dzmitry Huba

TSE - June 29, 2021

Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates

Federica Sarro, Rebecca Moussa, Alessio Petrozziello, Mark Harman

IEEE ICIP - September 19, 2021

Rate Estimation Techniques for Encoder Parallelization

Gaurang Chaudhari, Hsiao-Chiang Chuang, Igor Koba, Hariharan Lalgudi

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy