G. Wang, L. Bölöni, D. Turgut, and D. Marinescu

Time-parallel simulation of wireless ad hoc networks with compressed history


Cite as:

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.

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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.

BibTeX:

@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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