By Aidong Zhang, Avi Silberschatz, Sharad Mehrotra
Continuous Media Databases brings jointly in a single position vital contributions and updated examine ends up in this fast paced region.
Continuous Media Databases serves as an outstanding reference, offering perception into essentially the most hard learn matters within the field.
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Note that in parallel replication strategies, the number of replication streams used during the replication process is time-varying. In general, the number of possible replication streams is determined by Eq. (6), where the hard limit is determined by the parameter 4>. 1. Comparison of different policies In this section, we compare the performance of various replication policies, and examine the effect of tuning various parameters of the replication algorithm. 3, in this section we disable the de-replication policy and keep the popUlarity distribution constant, which should result in a more fair 48 53 THRESHOLD-BASED DYNAMIC REPLICATION comparison.
The aim of replication is to allow more nodes to handle requests for viewing a particular movie when necessary, thereby decreasing the number of customer rejections. Therefore, when the available service capacity Ai (t) for movie i offered by its replica nodes Ri(t) is too low, it is time to create an additional copy of that movie. Thus we define the following policy for triggering replication. When a customer request arrives for movie i at time t, replication of movie i is to be initiated if and only if all of the following criteria are met: • Ai (t) < Ti (t), where Ti (t) is a threshold parameter in our replication algorithm.
Therefore, it is more practical to limit the extent of data striping, for example, by arranging the disks in groups (or nodes) and then allowing intra-group (or intranode) data striping ouly. With multiple striping groups, however, we may need to assign a movie to multiple nodes so as to satisfy the total demand of requests for that movie. Such an approach gives rise to several design issues, including: (I) what is the right number of copies of each movie we need so as to satisfy the demand and at the same time not waste storage capacity, (2) how to assign these movies to different nodes in the system, and (3) what are efficient approaches to altering the number of copies of each movie (and their placement) when the need for that arises.