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Analysis and characterization of a video-on-demand service workload

På svenska

Author

  • Ahmed Ali-Eldin
  • Maria Kihl
  • Johan Tordsson
  • Erik Elmroth

Summary, in English

Video-on-Demand (VoD) and video sharing services account for a large percentage of the total downstream Internet traffic. In order to provide a better understanding of the load on these services, we analyze and model a workload trace from a VoD service provided by a major Swedish TV broadcaster. The trace contains over half a million requests generated by more than 20000 unique users. Among other things, we study the request arrival rate, the inter-arrival time, the spikes in the workload and their cause, the video popularity distribution, the streaming bit-rate distribution and the video duration distribution. Contrary to some previously analyzed workloads in the literature, our results show that the user and the session arrival rates for the TV4 workload does not follow a Poisson process. The arrival rate distribution is modeled using a lognormal distribution while the interarrival time distribution is modeled using a stretched exponential distribution. We observe the “impatient user” behavior where users abandon streaming sessions after minutes or

even seconds of starting them. Both very popular videos and non-popular videos are specially affected by impatient users. We also show that this behavior is an invariant in VoD workloads and is neither affected by the average bit-rate nor by the number of videos a user watch.

Publishing year

2015

Language

English

Pages

189-200

Publication/Series

[Host publication title missing]

Document type

Conference paper

Publisher

Association for Computing Machinery (ACM)

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

6th ACM Multimedia Systems Conference

Conference date

2015-03-18 - 2015-03-20

Status

Published

Project

  • EIT_VR CLOUD Cloud Control
  • LCCC

Research group

  • Broadband Communication

ISBN/ISSN/Other

  • ISBN: 978-1-4503-3351-1