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  1. Proceedings of the 14th International Workshop on Adaptive and Reflective Middleware (ARM 2015)
  2. Decentralized view prediction for global content placement
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Decentralized view prediction for global content placement

Content Provider ACM Digital Library
Author Frey, Davide Taïani, François Delbruel, Stéphane
Abstract A large portion of today's Internet traffic originates from streaming and video services. Storing, indexing, and serving these videos is a daily engineering challenge that requires increasing amounts of efforts and infrastructures. One promising direction to improve video services consists in predicting at upload time where and when a new video might be viewed, thereby optimizing placement and caching decisions. Implementing such a prediction service in a scalable manner poses significant technical challenges. In this paper, we address these challenges in the context of a decentralized storage system consisting of set-top boxes or end nodes. Specifically, we propose a novel data placement algorithm that exploits information about the tags associated with existing content, such as videos, and uses it to infer the number of views that newly uploaded content will have in each country.
Starting Page 1
Ending Page 3
Page Count 3
File Format PDF
ISBN 9781450337335
DOI 10.1145/2834965.2834974
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-12-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword User-generated content Prediction Youtube Tag
Content Type Text
Resource Type Article
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