Modeling of multimedia files on the Web 2.0
Mojgan Soraya, Masood Zamani, Abdolreza Abhari · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · 2008
In this paper we introduced a workload characterization study of the most popular video sharing service, YouTube, on the Web 2.0. For approximately a two-month period we collected the information of more than 17,000 video files and investigated the file attributes and popularity characteristics of YouTube. Since YouTube is considered as a huge video library, its access pattern has an important impact on the Internet traffic distribution. Comprehension of YouTube features and similar video sharing sites is critical to analyze network traffic and to develop novel user generated contents (UGC) services. This distribution models especially Zipf-like behavior of popular video files suggests caching may reduce network traffic and increase scalability of YouTube Web site.