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The group planned a video-on-demand broadcast on the eve of several Democratic primaries.
On-demand broadcast is a widely accepted approach for dynamic and scalable wireless information dissemination systems.
This study investigates data scheduling for multi-item requests in multi-channel on-demand broadcast environments.
Data scheduling for on-demand broadcast has been studied extensively in the past few years.
On-demand broadcast is an effective approach to disseminating data in mobile computing environments.
Substantial efforts have been devoted to improving the scheduling efficiency of on-demand broadcast.
In this work, we investigate the issues arising in scheduling multi-item requests in multi-channel on-demand broadcast environments.
In general, there are two main approaches to data broadcast, viz., push-based broadcast and on-demand broadcast [32].
To the best of our knowledge, it is also the first time to introduce opportunity cost, which is derived from economics, into on-demand broadcast scheduling.
In this paper, issues involved in the design of real-time on-demand broadcast system which maintains data temporal constraints are discussed.
One application which could benefit from a strategy for on-demand broadcast with timing constraints is a real-time database system.
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