Abstract User Generated Content (UGC), such as Youtube videos, accounts for a substantial fraction of the Internet traffic. To optimize their performance, UGC services usually rely on both proactive and reactive approaches that exploit spatial and temporal locality in access patterns. Alternatives types of locality are also relevant and hardly ever considered together. In this paper, we show on a large (more than 650,000 videos) Youtube dataset that content locality (induced by the related videos feature) andgeographic locality, are in fact correlated. More specifically, we show how the geographic view distribution of a video can be inferred to a large extent from that of its related videos. We leverage these findings to propose a UGC storage system that proactively places videos close to theexpected requests. |
ACM Copyright Notice: © ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in In Proceedings of The 22nd ACM Workshop on Network and Operating Systems Support for Digital Audio and Video. ACM, New York, NY, USA, 6 pages.
complete documentdoi: http://doi.org/10.1145/2229087.2229109 (publisher's link)