Publication Type
Conference Proceeding Article
Version
submittedVersion
Publication Date
5-2005
Abstract
Wireless broadcast is very suitable for delivering information to a large user population. In this paper, we concentrate on data allocation methods for multiple broadcast channels. To the best of our knowledge, this is the first allocation model that takes into the consideration of items' access frequencies, items' lengths. and bandwidth of different channels. We first derive the optimal average expected delay for multiple channels for the general case where data access frequencies, data sizes, and channel bandwidths can all be non-uniform. Second, we develop TOSA, a multi-channel allocation method that does not assume a uniform broadcast schedule for data items on the same channel. TOSA is based on the idea of two-level data allocation, i.e., a high-level optimization step for allocating data to the channels, followed by a low-level optimization step to schedule data within a channel. We show that TOSA achieves near-optimal performance in terms of average waiting time and significantly outperforms the existing algorithms.
Keywords
wireless broadcast, mobile computing, multiple channels, scheduling
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
MDM '05: Proceedings of the 6th International Conference on Mobile Data Management: May, 9-13, 2005, Ayia Napa, Cyprus
First Page
29
Last Page
37
ISBN
9781595930415
Identifier
10.1145/1071246.1071252
Publisher
ACM
City or Country
New York
Citation
ZHENG, Baihua; XU, Xia; JIN, Xing; and LEE, Dik Lun.
TOSA: A Near-Optimal Scheduling Algorithm for Multi-Channel Data Broadcast. (2005). MDM '05: Proceedings of the 6th International Conference on Mobile Data Management: May, 9-13, 2005, Ayia Napa, Cyprus. 29-37.
Available at: https://ink.library.smu.edu.sg/sis_research/587
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dx.doi.org/10.1145/1071246.1071252
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons