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Evolution strategy based optimization of on-demand dependent data broadcast scheduling
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Genetic And Evolutionary Computation Conference archive
Proceedings of the 10th annual conference on Genetic and evolutionary computation table of contents
Atlanta, GA, USA
POSTER SESSION: Real-world application posters table of contents
Pages 1699-1700  
Year of Publication: 2008
ISBN:978-1-60558-130-9
Authors
Rinku Dewri  Colorado State University, Fort Collins, CO, USA
Darrell Whitley  Colorado State University, Fort Collins, CO, USA
Indrakshi Ray  Colorado State University, Fort Collins, CO, USA
Indrajit Ray  Colorado State University, Fort Collins, CO, USA
Sponsors
ACM: Association for Computing Machinery
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Data broadcasting makes effective use of low bandwidth and is commonly used in applications involving mobile devices. We consider the case where data must be broadcast in a particular order and within a specified response time. However, communication bottlenecks prohibit the timely serving of all requests; although, missing the deadline does not make the data utility zero. In this work, we consider the problem of real-time data broadcast scheduling in the presence of soft deadlines together with constraints on the order in which data-items should be broadcast to be useful. We explore the method of evolution strategy to solve the problem, keeping in view that the real-time scheduler has to effectively trade-off between its running time and the quality of schedules generated.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Huang, J.-L., Chen, M.-S., and Peng, W.-C. Broadcasting Dependent Data for Ordered Queries without Replication in a Multi-Channel Mobile Environment. In 19th IEEE ICDE (2003), pp. 692--694.
 
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Hurson, A., Chehadeh, Y., and Hannan, J. Object Organization on Parallel Broadcast Channels in a Global Information Sharing Environment. In 19th IEEE IPCCC (2000), pp. 347--353.

Collaborative Colleagues:
Rinku Dewri: colleagues
Darrell Whitley: colleagues
Indrakshi Ray: colleagues
Indrajit Ray: colleagues