[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/1516241.1516260acmconferencesArticle/Chapter ViewAbstractPublication PagesicuimcConference Proceedingsconference-collections
research-article

COS: client oriented scheduling for multi-channel on-demand broadcast

Published: 15 February 2009 Publication History

Abstract

On-demand broadcast is an effective data dissemination approach in mobile computing. Recently, a large number of mobile applications have been developed in broadcast systems equipped with multiple channels. Therefore, it becomes a critical performance consideration for the underlying scheduling algorithm to utilize bandwidth efficiently in multi-channel on-demand broadcast environments. However, we find that existing scheduling algorithms fail to utilize bandwidth efficiently in this new environment and it results in a poor system performance. In this paper, we examine this bandwidth utilization problem. Based on the observation, we propose a bandwidth-efficient scheduling algorithm called COS in multi-channel on-demand broadcast environments. Results from our simulation study demonstrate the superiority of COS.

References

[1]
D. Aksoy and M. Leung, "Pull vs Push: A Quantitative Comparison for Data Broadcast," Global Telecommunications Conference, GLOBECOM'04, pp. 1464--1468, 2004.
[2]
D. Aksoy and M. Franklin, "Rx W: a Scheduling Approach for Large-scale On-demand Data Broadcast," IEEE/ACM Transactions on Networking, vol. 7, no. 6, pp. 846--860, 1999.
[3]
C. LIU and J. LAYLAND, "Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment," Readings in Hardware/Software Co-Design, 2001.
[4]
J. Wong, "Broadcast Delivery," Proceedings of the IEEE, vol. 76, no. 12, pp. 1566--1577, 1988.
[5]
J. Wong and M. Ammar, "Analysis of Broadcast Delivery in a Videotex System," IEEE Transactions on Computers, vol. 34, no. 9, pp. 863--866, 1985.
[6]
J. Xu, X. Tang, and W. Lee, "Time-critical On-demand Data Broadcast: Algorithms, Analysis, and Performance Evaluation," IEEE Transactions on Parallel and Distributed Systems, vol. 17, no. 1, pp. 3--14, 2006.
[7]
K. Prabhakara, K. Hua, and J. Oh, "Multi-level Multi-channel Air Cache Designs for Broadcasting in a Mobile Environment," Proceedings of the 16th International Conference on Data Engineering, pp. 167--176, 2000.
[8]
Y. Chung, C. Chen, and C. Lee, "Design and Performance Evaluation of Broadcast Algorithms for Time-Constrained Data Retrieval," IEEE Transactions On Knowledge And Data Enginerring, pp. 1526--1543, 2006.
[9]
N. Saxena and M. Pinottti, "On-line Balanced K-Channel Data Allocation with Hybrid Schedule per Channel," Proceedings of the 6th International Conference on Mobile Data Management, pp. 239--246, 2005.
[10]
W. Yee, S. Navathe, E. Omiecinski, and C. Jermaine, "Efficient Data Allocation over Multiple Channels at Broadcast Servers," IEEE Transactions On Computers, pp. 1231--1236, 2002.
[11]
B. Zheng, X. Wu, X. Jin, and D. Lee, "TOSA: A Near-optimal Scheduling Algorithm for Multi-channel Data Broadcast," Proceedings of the 6th International Conference on Mobile Data Management, pp. 29--37, 2005.
[12]
G. Zipf, Human Behavior and the Principle of Least Effort, 1949.
[13]
T. Imielinski, S. Viswanathan, and B. Badrinath, "Data on Air: Organization and Access," IEEE Transactions on Knowledge and Data Engineering, vol. 9, no. 3, pp. 353--372, 1997.
[14]
K. Liu and V. Lee, "Analysis of Data Scheduling Algorithms for Multi-item requests in Multi-channel On-demand Broadcast Environments," Submitted to ACM Computer Communication Review, 2008.
[15]
H. Schwetman, "CSIM19: A Powerful Tool for Building System Models," Proceedings of the Winter Simulation Conference, pp. 250--255, 2001.
[16]
V. Lee, X. Wu, and J. NG, "Scheduling Real-time Requests in On-demand Data Broadcast Environments," Real-Time Systems, vol. 34, no. 2, pp. 83--99, 2006.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
ICUIMC '09: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
February 2009
704 pages
ISBN:9781605584058
DOI:10.1145/1516241
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 February 2009

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. multi-channel
  2. on-demand broadcast
  3. performance evaluation
  4. scheduling algorithm

Qualifiers

  • Research-article

Funding Sources

Conference

ICUIMC '09
Sponsor:

Acceptance Rates

Overall Acceptance Rate 251 of 941 submissions, 27%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 107
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 12 Dec 2024

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media