Paper Info
Title
Analysis and characterization of a video-on-demand service workload
Abstract
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, the video popularity distribution, the streaming bit-rate distribution and the video duration distribution. 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 inter-arrival 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 particularly affected by impatient users. We investigate if this behavior is an invariant for VoD workloads.
Year
DOI
Venue
2015
10.1145/2713168.2713183
MMSys
Keywords
Field
DocType
local and wide-area networks,video-on-demand,user behavior modeling,network operations,workload modeling,computing science
Time distribution,On demand,Computer science,Workload,Popularity,Computer network,Real-time computing,Exponential distribution,Information engineering,Log-normal distribution,Internet traffic
Conference
Citations 
PageRank 
References 
8
0.58
32
Authors
4
Name
Order
Citations
PageRank
Ahmed Ali-Eldin144224.01
Maria Kihl217422.69
Johan Tordsson3127666.49
Erik Elmroth41675149.84