Analysis and characterization of a Video-on-Demand service workload
2015 (English)In: Proceedings of the 6th ACM Multimedia Systems Conference, MMSys 2015, ACM Digital Library, 2015, 189-200 p.Conference paper (Refereed)
Video-on-Demand (VoD) and video sharing services accountfor a large percentage of the total downstream Internet traf-fic. In order to provide a better understanding of the loadon these services, we analyze and model a workload tracefrom a VoD service provided by a major Swedish TV broad-caster. The trace contains over half a million requests gener-ated by more than 20000 unique users. Among other things,we study the request arrival rate, the inter-arrival time, thespikes in the workload, the video popularity distribution, thestreaming bit-rate distribution and the video duration distri-bution. Our results show that the user and the session ar-rival rates for the TV4 workload does not follow a Poissonprocess. The arrival rate distribution is modeled using a log-normal distribution while the inter-arrival time distributionis modeled using a stretched exponential distribution. Weobserve the “impatient user” behavior where users abandonstreaming sessions after minutes or even seconds of startingthem. Both very popular videos and non-popular videos areparticularly affected by impatient users. We investigate ifthis behavior is an invariant for VoD workloads.
Place, publisher, year, edition, pages
ACM Digital Library, 2015. 189-200 p.
Engineering and Technology Computer Systems
Research subject Computing Science
IdentifiersURN: urn:nbn:se:umu:diva-108393DOI: 10.1145/2713168.2713183ScopusID: 2-s2.0-84942543893ISBN: 978-1-4503-3351-1OAI: oai:DiVA.org:umu-108393DiVA: diva2:852763
6th ACM Multimedia Systems Conference, MMSys 2015; Portland; United States; 18 March 2015 through 20 March 2015; Code 113421
FunderEU, European Research CouncilSwedish Research Council