NDLI: STARS: A Framework for Statistically Rigorous Simulation-Based Network Research

Content Provider	IEEE Xplore Digital Library
Author	Millman, E. Arora, D. Neville, S.W.
Copyright Year	2011
Abstract	Simulation has become one of the dominant tools in wired and wireless network research. With the advent of cloud, grid, and cluster computing it has become feasible to use parallelization to perform richer larger-scale simulations. Moreover, the computing resources needed to perform statistically rigorous simulations are now easily obtainable. Although a number of parallel network simulation frameworks exists, the issue of statistical rigorous testing has largely not been addressed. This work presents a parallel MPI-aware network simulation framework that is specifically designed to provide automated support for statistically rigorous experimentation, thereby offloading this significant researcher burden. Unlike prior frameworks, the proposed framework includes a distribution-free statistical analysis feedback loop that automatically deduces the next set of experiments that need to be run. The value of this new framework is highlighted by exploring the well known issue of assessing the true duration of start-up transients within mobile ad hoc networks (MANETs) simulations.
Starting Page	733
Ending Page	739
File Size	323612
Page Count	7
File Format	PDF
ISBN	9781612848297
DOI	10.1109/WAINA.2011.147
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-22
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	network engineering Statistical analysis Computational modeling parallelization Mobile ad hoc networks MANET Simulation OMNeT++ Data models Transient analysis Testing Load modeling statistics
Content Type	Text
Resource Type	Article

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