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SVE: Distributed Video Processing at Facebook Scale

Author(s): Huang, Qi; Ang, Petchean; Knowles, Peter; Nykiel, Tomasz; Tverdokhlib, Iaroslav; et al

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Abstract: Videos are an increasingly utilized part of the experience of the billions of people that use Facebook. These videos must be uploaded and processed before they can be shared and downloaded. Uploading and processing videos at our scale, and across our many applications, brings three key requirements: low latency to support interactive applications; a flexible programming model for application developers that is simple to program, enables efficient processing, and improves reliability; and robustness to faults and overload. This paper describes the evolution from our initial monolithic encoding script (MES) system to our current Streaming Video Engine (SVE) that overcomes each of the challenges. SVE has been in production since the fall of 2015, provides lower latency than MES, supports many diverse video applications, and has proven to be reliable despite faults and overload.
Publication Date: Oct-2017
Citation: Huang, Qi, Petchean Ang, Peter Knowles, Tomasz Nykiel, Iaroslav Tverdokhlib, Amit Yajurvedi, Paul Dapolito, Xifan Yan, Maxim Bykov, Chuen Liang, Mohit Talwar, Abhishek Mathur, Sachin Kulkarni, Matthew Burke, Wyatt Lloyd. "SVE: Distributed Video Processing at Facebook Scale." In Proceedings of the 26th Symposium on Operating Systems Principles (2017): pp. 87-103. doi:10.1145/3132747.3132775
DOI: 10.1145/3132747.3132775
Pages: 87 - 103
Type of Material: Conference Article
Journal/Proceeding Title: Proceedings of the 26th Symposium on Operating Systems Principles
Version: Final published version. This is an open access article.

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