Download Continuous Media Databases by Aidong Zhang, Avi Silberschatz, Sharad Mehrotra PDF

By Aidong Zhang, Avi Silberschatz, Sharad Mehrotra

Continuous Media Databases brings jointly in a single position vital contributions and up to date examine ends up in this fast-paced quarter.
Continuous Media Databases serves as an outstanding reference, supplying perception into the most demanding learn concerns within the field.

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_. ::l •• G ···-a····EJ····e··--o····a .... 5L-__ o Figure 15. 9 Effect of varying threshold limit. popularities necessitates the use of de-replication, otherwise the system storage would be exhausted by replicas of previously popular movies. Specifically, we would like to investigate the effect of dynamic replication under the increase of movie popularities. Failure to cope with the change in movie popularity will result in the increase of rejection rate (or waiting time). Although increase of popularity in some movies is always coupled with decrease of popularity of other movies, the former change is more directly related to the acceptance rate.

The performance metrics under study are the acceptance rate and the movie replication time. Beside evaluating the performance of the propose algorithms, we also try to answer the following questions. , I/O bandwidth) for shortening the replication time with parallel replication technique and secondly, whether the movie popularity skewness affect the system's performance. , lSI = 20), each node ni has a storage capacity of 50 movies, and service capacity of 250 movie access streams. In our study, we use 500 distinct movies and each movie has a viewing duration of 90 minutes.

Note that figure 12 shows that with large values of l/J, the injected & piggybacked replication policy outperforms the injected replication policy. On the other 50 THRESHOLD-BASED DYNAMIC REPLICATION 55 Piggybacked Parallel Replication -+Injected Parallel Replication -+--. Injected & Piggybacked Parallel Replication . , C. a: 50 40 30 20 10 o~------~------~------~------~------~----~ 20 30 40 o 10 50 60 Hard Limit of Replication Streams Figure 12. Replication time. Injected & Piggybacked Parallel Replication -+-Injected Parallel Replication -+--.

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