Abstract

With the development and popularity of the Internet, Internet traffic has increased dramatically. Numerous studies have shown that video accounts for a large percentage of Internet traffic, and this percentage is still rising in the future. A good understanding of user behavior in online video systems can help us design, configure and manage video content distribution to alleviate network stress. In this paper, we did a detailed analysis of user behavior data for Internet video. Our research shows that the user's daily access and online pattern of users have a fixed pattern, and the user's access behavior conforms to Zipf's law. Besides, we optimized the fit of Zipf-like distribution of video's popularity. Finally, we built a reliable simulation system that simulates user behavior data. Overall, we believe that the results presented in this paper are very important and valuable to the whole network.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.