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A new hybrid broadcast scheduling algorithm for asymmetric communication systems: push and pull data based on optimal cut-off point
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Source International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems table of contents
Rome, Italy
Pages: 123 - 130  
Year of Publication: 2001
ISBN:1-58113-378-2
Authors
Yufei Guo  Dept.of CSE, Univ. of Texas at Arlington, Arlington, TX
Sajar K. Das  Dept.of CSE, Univ. of Texas at Arlington, Arlington, TX
Cristina M. Pinotti  Dipartimento di Matematica, Universita' degli Studi di Trento, Povo, 38050 (TN) Italy
Sponsors
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

It is believed that broadcast is an efficient way to transmit data in an asymmetric communication system. Most of the previous work focused on either pull-based or push-based scheduling. However, for systems with a very large number of data items, none of these schemes is efficient. We propose a novel scheduling algorithm which uses both pull- and push-based schemes. In our approach, data items are divided into two disjoint sets: one consisting of more-popular items and the other of less-popular items. The items in the former set are broadcast by a push-based schedule, while those in the latter set by a pull-based schedule. By optimally selecting the cut-off point to distinguish these two sets, the new hybrid scheduling algorithm achieves a lower expected access time than other existing schedules.


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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J.W. Wong, "Broadcast delivery", Proceedings of IEEE, pp. 1566-1577, December 1988.
 
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Collaborative Colleagues:
Yufei Guo: colleagues
Sajar K. Das: colleagues
Cristina M. Pinotti: colleagues