Title :
Multimedia prefetching strategy for news-on-demand applications
Author :
Mostefaoui, Ahmed ; Brunie, Lionel
Author_Institution :
Parallel Comput. Lab., Ecole Normale Superieure de Lyon, France
Abstract :
In video databases, a video document has two abstractions. The high level abstraction corresponds to the view in which the contents of that video document are seen by end users. And the low level abstraction corresponds to the physical organization of that video document. We propose a novel prefetching strategy that merges the two views of a video document to trigger prefetching at the video server level. We focus on the impact of the high level view on the proposed prefetching technique. Specifically, we study the behavior of the prefetching technique under different typologies of the video database contents. The simulation experiments show an improvement of between 10% and 23%
Keywords :
multimedia databases; video databases; video servers; database contents; end users; high level abstraction; low level abstraction; multimedia prefetching strategy; news-on-demand applications; physical organization; prefetching strategy; prefetching technique; video databases; video document; video server level; Bandwidth; Information systems; Laboratories; Multimedia databases; Parallel processing; Prefetching; Streaming media; Systems engineering and theory; Video compression; Video sharing;
Conference_Titel :
Database and Expert Systems Applications, 1999. Proceedings. Tenth International Workshop on
Conference_Location :
Florence
Print_ISBN :
0-7695-0281-4
DOI :
10.1109/DEXA.1999.795119