Odin: Microsoft’s Scalable Fault-Tolerant CDN Measurement System

Authors: 

Matt Calder, Microsoft/USC; Manuel Schröder, Ryan Gao, Ryan Stewart, and Jitendra Padhye, Microsoft; Ratul Mahajan, Intentionet; Ganesh Ananthanarayanan, Microsoft; Ethan Katz-Bassett, Columbia University

Abstract: 

Content delivery networks (CDNs) are critical for delivering high performance Internet services. Using worldwide deployments of front-ends, CDNs can direct users to the front-end that provides them with the best latency and availability. The key challenges arise from the heterogeneous connectivity of clients and the dynamic nature of the Internet that influences latency and availability. Without continuous insight on performance between users, front-ends, and external networks, CDNs will not be able to attain their full potential performance.

We describe Odin, Microsoft's Internet measurement platform for its first-party and third-party customers. Odin is designed to handle Microsoft's large user base and need for large-scale measurements from users around the world. Odin integrates with Microsoft's varied suite of web-client and thick-client applications, all while being mindful of the regulatory and privacy concerns of enterprise customers. Odin has been operational for 2 years. We present the first detailed study of an Internet measurement platform of this scale and complexity.

NSDI '18 Open Access Videos Sponsored by
King Abdullah University of Science and Technology (KAUST)

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {211233,
author = {Matt Calder and Ryan Gao and Manuel Schr{\"o}der and Ryan Stewart and Jitendra Padhye and Ratul Mahajan and Ganesh Ananthanarayanan and Ethan Katz-Bassett},
title = {Odin: Microsoft{\textquoteright}s Scalable Fault-Tolerant {CDN} Measurement System},
booktitle = {15th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 18)},
year = {2018},
isbn = {978-1-939133-01-4},
address = {Renton, WA},
pages = {501--517},
url = {https://www.usenix.org/conference/nsdi18/presentation/calder},
publisher = {{USENIX} Association},
}