G. Wang, L. Bölöni, D. Turgut, and D. Marinescu. Time-parallel simulation of wireless ad hoc networks with compressed history. Journal of Parallel and Distributed Computing (JPDC), 69:168–179, February 2009.
Time-parallel simulation (TPS) is a simulation technique which partitions the timespan of the simulation into independently executed simulation segments. Unless the simulated process is regenerative, the output of TPS is only an approximation of the corresponding serial simulation. In previous work, we have adapted TPS to the simulation of wireless ad hoc networks. By prefixing the measured simulation segment with a warmup interval which can be dynamically extended, we were able to achieve arbitrary accuracy. In general, higher accuracy requires a longer warmup interval, which decreases the speedup. In this paper we introduce compressed history, a technique which improves the performance of TPS for a class of processes which require long warmup intervals to achieve satisfactory accuracy. Compressed history replaces part of the warmup interval, and speeds up the simulation by retaining only those past events that affect significantly the state at the beginning of the measured interval. We present compressed history in general terms, and provide a detailed description of its implementation, tuning and performance results for the concrete example of the DSDV proactive ad hoc routing protocol.
@article{Wang-2009-JPDC,
author = "G. Wang and L. B{\"o}l{\"o}ni and D. Turgut and D. Marinescu",
title = "Time-parallel simulation of wireless ad hoc networks with compressed history",
journal = "Journal of Parallel and Distributed Computing (JPDC)",
year = "2009",
month = "February",
volume = "69",
issue = "2",
pages = "168--179",
abstract = {
Time-parallel simulation (TPS) is a simulation technique which partitions
the timespan of the simulation into independently executed simulation
segments. Unless the simulated process is regenerative, the output of TPS
is only an approximation of the corresponding serial simulation. In
previous work, we have adapted TPS to the simulation of wireless ad hoc
networks. By prefixing the measured simulation segment with a warmup
interval which can be dynamically extended, we were able to achieve
arbitrary accuracy. In general, higher accuracy requires a longer warmup
interval, which decreases the speedup.
In this paper we introduce compressed history, a technique which
improves the performance of TPS for a class of processes which require long
warmup intervals to achieve satisfactory accuracy. Compressed history
replaces part of the warmup interval, and speeds up the simulation by
retaining only those past events that affect significantly the state at the
beginning of the measured interval. We present compressed history in
general terms, and provide a detailed description of its implementation,
tuning and performance results for the concrete example of the DSDV
proactive ad hoc routing protocol.
},
}
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