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<p><b>Abstract</b>—On-demand broadcast is an effective wireless data dissemination technique to enhance system scalability and deal with dynamic user access patterns. With the rapid growth of time-critical information services in emerging applications, there is an increasing need for the system to support timely data dissemination. This paper investigates online scheduling algorithms for time-critical on-demand data broadcast. We propose a novel scheduling algorithm called <tmath>{\rm{SIN}}{\hbox{-}}\alpha</tmath> that takes the urgency and number of outstanding requests into consideration. An efficient implementation of <tmath>{\rm{SIN}}{\hbox{-}}\alpha</tmath> is presented. We also analyze the theoretical bound of request drop rate when the request arrival rate rises toward infinity. Trace-driven experiments show that <tmath>{\rm{SIN}}{\hbox{-}}\alpha</tmath> significantly outperforms existing algorithms over a wide range of workloads and approaches the analytical bound at high request rates.</p>
Mobile computing, on-demand data broadcast, scheduling, content delivery, time constraint.

X. Tang, W. Lee and J. Xu, "Time-Critical On-Demand Data Broadcast: Algorithms, Analysis, and Performance Evaluation," in IEEE Transactions on Parallel & Distributed Systems, vol. 17, no. , pp. 3-14, 2006.
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