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- W2017306571 abstract "Performance of video streaming in the video on demand system is highly depended on the session oriented data storage finding. Data is broken up into manageable packets for Internet delivery. Multiple bonded connections behave like a single connection to the video on demand user. Use of the session oriented aggregate bit streaming rate combined with the capacity of the system network provides prior knowledge about the current load on the overall system. Session based optimum storage finding algorithm reduces the search hop count towards the storage-data server. In this work, we present a novel approach to this challenging issue. Propose session based storage finding search for Query Algorithm at the application server of distributed data storage nodes in the video on demand system is to minimize the hop counts. The Simulation results in contrast with the real-life scenario; hence the hop count is reduced for searching the content storage in video on demand system." @default.
- W2017306571 created "2016-06-24" @default.
- W2017306571 creator A5008594233 @default.
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- W2017306571 date "2015-08-10" @default.
- W2017306571 modified "2023-09-26" @default.
- W2017306571 title "Session Based Storage finding in Video on Demand System" @default.
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- W2017306571 doi "https://doi.org/10.1145/2791405.2791409" @default.
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