Analysis of user behavior in a large-scale internet video-on-demand(VoD) system

Author:

Yuan Yaohui1,Wang Xingjun1,Bin Guangxiang1

Affiliation:

1. Tsinghua University Shenzhen, China

Publisher

ACM

Reference14 articles.

1. Internet inter-domain traffic

2. Measurement of Quality of Experience of Video-on-Demand Services: A Survey

3. Cisco Visual Networking Index: Forecast and Trends 2017-2022 https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html Cisco Visual Networking Index: Forecast and Trends 2017-2022 https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html

4. Technische Universität Technische Universität F. Kaup Energy-efficiency and Performance in Communication Networks: Analyzing Energy-Performance Trade-offs in Communication Networks and their Implications on Future Network Structure and Management[D] 2017

5. Ant-Inspired Mini-Community-Based Solution for Video-On-Demand Services in Wireless Mobile Networks

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1. Inductive Inferences of Z-Entropy Formalism (ZEF) Stable M/G/1 Queue with Heavy Tails;2022 27th International Conference on Automation and Computing (ICAC);2022-09-01

2. Analysis of Internet Service Traffic Pattern through Collecting Packets;The Journal of Korean Institute of Information Technology;2022-01-31

3. Information Behavior on Video on Demand Services: User Motives and Their Selection Criteria for Content;Information;2021-04-16

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