Dynamic adaptive mapping of videos in a hierarchical TV-Anytime server network
نویسندگان
چکیده
In this paper, we propose a hierarchical architecture of server network for supporting a large-scale TV-Anytime system. We present and formulate various policies used for the effective mapping of videos in the runtime of the TV-Anytime system. A predictive assignment policy is presented to periodically determine the mapping of videos to the server network. Furthermore, we present an adaptive reallocation policy to handle the short-term variations. Our simulation results demonstrate that these policies yield an efficient system and make the system more adaptive to changes in videos popularity and system state. Our simulation results also show that batching and multicasting significantly improves the system throughput during the high load periods and makes the system more scalable.
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