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A preemptive scheduling algorithm for wireless real-time on-demand data broadcast

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3 Author(s)
Xiao Wu ; Dept. of Comput. Sci., City Univ. of Hong Kong, China ; V. C. S. Lee ; J. Kee-Yin Ng

On-demand broadcast is an attractive data dissemination method for mobile and wireless computing. In this paper, we propose a new online preemptive scheduling algorithm, called PRDS that incorporates the urgency, the data size and the number of pending requests for real-time on-demand broadcast system. Furthermore, we use pyramid preemption to optimize performance and reduce overhead. We have done a series of simulation experiments to evaluate the performance of our algorithm as compared with other previously proposed methods under a range of scenarios. The experimental results show that our algorithm can substantially outperform other algorithms without jeopardizing other performance metrics, such as response time and stretch.

Published in:

11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05)

Date of Conference:

17-19 Aug. 2005