An Access Pattern Model Analysis for Online VoD Multimedia Flow for Bigdata

The commonly agreed Zipf-like access pattern of Web work-loads is mainly based on Internet measurements when text-based content dominated the Web traffic. However, with dramatic increase 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 observed in a number of studies. Recently, many researcher has mentioned take long tail effect as a replacement of Zipf law. An insightful understanding of media access patterns is useful for guiding Internet system design and management, including resource provisioning and performance optimizations. 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, we find the object reference ranks of all these workloads follow the logistic (LOG) distribution despite their different media systems and delivery methods, This mean it does not follow long tail effect; We have further analyzed the effectiveness of media caching with a mathematical model.