vbench is the first benchmark for the emerging video-as-a-service workload and will be presented at ASPLOS 2018 .
vbench captures the nuances of this important workload including the tradeoffs that cloud video providers have to navigate between Quality of Experience (QoE), network cost, compute cost, and storage cost.
This material is based upon work supported by 2016 Google Faculty Research Award, NSF (CCF-1065338) and C-FAR, one of six centers of STARnet, a Semiconductor Research Corporation program sponsored by MARCO and DARPA. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of these sponsors.
Please cite this summary paper when you publish results obtained using vbench:
 Andrea Lottarini, Alex Ramirez, Joel Coburn, Martha A. Kim, Parthasarathy Ranganathan, Daniel Stodolsky, Mark Wachsler. vbench: Benchmarking Video Transcoding in the Cloud. In Proceedings of the Twenty-third International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), ASPLOS ’18, New York, NY, USA, 2018. ACM. [Download]