IMPROVING CONFIDENCE IN NETWORK SIMULATIONS Michele

نویسندگان

  • L. F. Perrone
  • F. P. Wieland
  • J. Liu
  • B. G. Lawson
  • D. M. Nicol
  • Michele C. Weigle
چکیده

Simulationhas become the tool of choice for an increasing number of networking researchers. Unfortunately, standard statistical techniques often cannot be applied when Internet-like heavy-tailed workloads are used as input. We present issues involved in using heavy-tailed distributions in network simulations, including three different methods for dealing with such distributions in simulation. We also discuss the proper use of the random number generator implemented in the ns-2 simulator and the impacts of improper usage.

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تاریخ انتشار 2006