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A Statistic and Analysis of Access Pattern for Online VoD Multimedia

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A Correction to this article was published on 19 November 2019

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Abstract

The generally accepted that Zipf-Distribution is a convinced access pattern for text-based Web. However, with the dramatic increasement of VoD media traffic on the Internet such as Flash P2P, the inconsistency between the access patterns of media objects and the Zipf model has been researched by many scholars. In this paper, we have studied a large variety of media work-loads collected from both browser and server sides in Adobe Flash P2P systems which applied in Youku, Youtube, etc. Through extensive analysis and modeling. And found the object reference ranks of all these workloads follow the logistic (LOG) distribution despite their different media systems and delivery methods by extensive analysis and modeling. This mean it does not follow long tail effect; Furthermore, we have constructed mathematical models which can applied in access pattern in FlashP2P traffic. By analyzing the model of media traffic access, it is possible to better describe the user’s access mode. Meantime, it is very suitable for the configuration and allocation of network resources which can be used more efficiently.

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Change history

  • 19 November 2019

    The Publisher regrets an error on the printed front cover of the October 2019 issue. The issue numbers were incorrectly listed as Volume 91, Nos. 10-12, October 2019. The correct number should be: "Volume 91, No. 10, October 2019"

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Acknowledgements

The subject is sponsored by the National Natual Science Foundation of China (61672209, 61701170) China Postdoctoral Science Foundation funded project (2014 M560439), Jiangsu Planned Projects for Postdoctoral Research Funds (1302084B) Scientific & Technological Support Project of Jiangsu Province (BE2016185).

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Authors and Affiliations

  1. Institute of Data and Knowledge Engineering, Henan University, Kaifeng, Henan, China

    Zhijie Han & Ji_ao Ma

  2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Network, Nanjing, Jiangsu, China

    Zhijie Han & Weibei Fan

  3. School of Software Henan University, Kaifeng, Henan, China

    Xin He

  4. School of Computer Science and Technology, Soochow University, Suzhou, 215006, China

    Weibei Fan

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  1. Zhijie Han
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  2. Ji_ao Ma
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  3. Xin He
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  4. Weibei Fan
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Correspondence to Zhijie Han.

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Han, Z., Ma, J., He, X. et al. A Statistic and Analysis of Access Pattern for Online VoD Multimedia. J Sign Process Syst 91, 1149–1157 (2019). https://doi.org/10.1007/s11265-018-1419-y

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  • DOI: https://doi.org/10.1007/s11265-018-1419-y

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