HackerPapers

arXiv:1705.00717cs.NI

How far is Facebook from me? Facebook network infrastructure analysis

Reza Farahbakhsh, Angel Cuevas, Antonio M. Ortiz, Xiao Han, Noel Crespi

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

Facebook is today the most popular social network with more than one billion subscribers worldwide. To provide good quality of service (e.g., low access delay) to their clients, FB relies on Akamai, which provides a worldwide content distribution network with a large number of edge servers that are much closer to FB subscribers. In this article we aim to depict a global picture of the current FB network infrastructure deployment taking into account both native FB servers and Akamai nodes. Toward this end, we have performed a measurement-based analysis during a period of two weeks using 463 Planet- Lab nodes distributed across 41 countries. Based on the obtained data we compare the average access delay that nodes in different countries experience accessing both native FB servers and Akamai nodes. In addition, we obtain a wide view of the deployment of Akamai nodes serving FB users worldwide. Finally, we analyze the geographical coverage of those nodes, and demonstrate that in most of the cases Akamai nodes located in a particular country service not only local FB subscribers, but also FB users located in nearby countries.

arXiv comments
Published in: IEEE Communications Magazine (Volume: 53, Issue: 9, September 2015)
Journal reference
IEEE Communications Magazine 53.9 (2015): 134-142
DOI
doi:10.1109/MCOM.2015.7263357
Subjects
cs.NINetworking and Internet Architecture

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from May 2017 to May 2017. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.