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 very important contributions and up to date study ends up in this fast paced zone.
Continuous Media Databases serves as a superb reference, supplying perception into the most tough examine concerns within the field.

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Otherwise the customer is rejected. 4 For ease of reference, the following table summarizes all the notation used in this paper. Some of the notation given in the table will be defined later in the paper, as it is needed. S 34 set of all nodes in the system 151 N number of nodes, which is equal to mi length of movie i (in minutes) )" average request arrival rate to the VOD system Bx maximum service capacity of node x (in streams) Lx (t) load on node x at time t (in streams) Ai (t) available service capacity of movie i at lime t (in streams) Ri (t) set of replica nodes for movie i at time t ns source node for replication n, To (t) target node for replication Pi (t) probability that an arriving customer at time t chooses movie i for viewing replication threshold of movie i at time t '" hard limit of replication streams h threshold limit parameter to control replication THRESHOLD-BASED DYNAMIC REPLICATION 39 3.

They can then be migrated to the target node to continue the movie playback, because the beginning of the succeeding partition has already been replicated. In this manner, many of the existing viewers can be migrated to the replica node, thus quickly reducing the load on the source node if desired. Early migration is a generalization of early acceptance, thus it suffers from similar problems that affect early acceptance. Recall that early accepted customer will cause problems if they try to issue VCR functions.

When these processes are completed, the remaining service capacity at that node will be shared among several movies, which are all in need of more service capacity. (3) Choose one which has the highest estimated residual capacity. Mathematically, we choose the node from the set S~ where S~= { xlwherexES,andLx(t)=max' { By - L y (t)}} yES, 1 + Yy(t) (5) and Yx(t) is the number of movies being replicated to node x at time t. Since the residual service capacity is divided by 1 + Yx(t), this policy avoids simultaneous replication of different movies to the same target node.

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