Abstract
Video applications are characterized by their increased requirements for huge storage spaces and timing synchronization. Video data storage is a critical issue due to the so-called I/O bottleneck problem in relation to the quality of service while accessing video applications. The main contribution of the paper is that it considers video data dependencies, access frequencies and timing constraints in order to introduce a video data representation model which guides the storage policies. Two video data representation levels are considered to capture the frequencies of accesses at external (video objects) and internal (video clips) levels. A simulation model has been developed in order to evaluate the placement strategies. Video data placement is performed on a tertiary storage subsystem by both constructive and iterative improvement policies. Iterative improvement placement has been proven to outperform the other video data placement approaches.
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