While the prime goal of data broadcasting is reducing the overall access time, most practical systems also need to consider the messaging overhead. On the other hand, the load of the real-time systems often change in a dynamic fashion. Hence, the broadcast system needs to be robust enough to adapt itself online with the system dynamics. The basic motivation behind the lazy data request strategy  is to not send the request for the data item but wait. The particular data item might already be broadcasted due to an explicit request by other clients. This will result in saving of message passing in the uplink channel and battery power of the mobile terminal. It proposes a new dynamic bounded waiting strategy that contains two parts in the schedule: index section and data section. The client can use the index section to get a predicted estimate of the item to be broadcasted in the near future. The server chooses a set of data items and the items are batched together for broadcast. The corresponding index section is broadcasted before the transmission of the batch set. The number of items to broadcast in a batch set is determined by a control variable termed selection factor. In the worst case the client tunes at the beginning of a data section and waits until the end of next index section of the next data set.
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