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  4. Expanding the event horizon in parallelized network simulations
 
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Expanding the event horizon in parallelized network simulations

Publikationstyp
Conference Paper
Date Issued
2010-11-11
Sprache
English
Author(s)
Kunz, Georg
Landsiedel, Olaf  
Götz, Stefan
Wehrle, Klaus  
Gross, James
Naghibi, Farshad
TORE-URI
https://hdl.handle.net/11420/53939
Start Page
172
End Page
181
Article Number
5581596
Citation
Proceedings of the 18th Annual IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems: 172-181 (2010)
Contribution to Conference
18th Annual IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2010  
Publisher DOI
10.1109/MASCOTS.2010.26
Scopus ID
2-s2.0-78049495332
Publisher
IEEE
ISBN
9780769541976
The simulation models of wireless networks rapidly increase in complexity to accurately model wireless channel characteristics and the properties of advanced transmission technologies. Such detailed models typically lead to a high computational load per simulation event that accumulates to extensive simulation runtimes. Reducing runtimes through parallelization is challenging since it depends on detecting causally independent events that can execute concurrently. Most existing approaches base this detection on lookaheads derived from channel propagation latency or protocol characteristics. In wireless networks, these lookaheads are typically short, causing the potential for parallelization and the achievable speedup to remain small. This paper presents Horizon, which unlocks a substantial portion of a simulation model's workload for parallelization by going beyond the traditional lookahead.We show how to augment discrete events with durations to identify a much larger horizon of independent simulation events and efficiently schedule them on multi-core systems. Our evaluation shows that this approach can significantly cut down the runtime of simulations, in particular for complex and accurate models of wireless networks.
DDC Class
005: Computer Programming, Programs, Data and Security
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