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%   BibTeX entry for \cite{brp:tr:1989c}
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%   Copyright (c) 2004 by Bruno R. Preiss, P.Eng.
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%   URL:http://www.brpreiss.com/reports/ccng/E-191/report.bib
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%   Copyright (c) 1999 by Bruno R. Preiss, P.Eng.
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%   $Author: brpreiss $
%   $Date: 2001/12/09 19:22:40 $
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%   $Revision: 1.22 $
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%   $Id: abbrev.bib,v 1.22 2001/12/09 19:22:40 brpreiss Exp $
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@string{ablex = "Ablex Publishing Corporation"}
@string{acm = "Association for Computing Machinery, Inc."}
@string{acmsurveys = "ACM Computing Surveys"}
@string{acmtomacs = "ACM Trans.\ on Modeling and Computer Simulation"}
@string{acmtoplas = "ACM Trans.\ on Programming Languages and Systems"}
@string{ass = " Ann.\ Simulation Symp."}
@string{brp = "Bruno R. Preiss"}
@string{cacm = "Communications of the ACM"}
@string{ccece = " Canadian Conf.\ on Elec.\ and Comp.\ Eng."}
@string{ccng = "Computer Communications Networks Group"}
@string{ccvlsi = " Canadian Conf.\ on VLSI"}
@string{cips = "Canadian Information Processing Society"}
@string{csece = "Canadian Society for Electrical and Computer Engineering"}
@string{ece = "Department of Electrical and Computer Engineering"}
@string{ee = "Department of Electrical Engineering"}
@string{eic = "Engineering Institute of Canada"}
@string{home = "http://www.brpreiss.com"}
@string{icpp = " Int.\ Conf.\ on Parallel Processing"}
@string{ieee = "Institute of Electrical and Electronics Engineers, Inc."}
@string{ieeecomp = "IEEE Computer"}
@string{ieeemicro = "IEEE Micro"}
@string{ieeetc = "IEEE Trans.\ on Computers"}
@string{ieeetcad = "IEEE Trans.\ on Computer-Aided Design"}
@string{ieeetpds = "IEEE Trans.\ on Parallel and Distributed Systems"}
@string{ieeetse = "IEEE Trans.\ on Software Engineering"}
@string{ijcs = "International Journal in Computer Simulation"}
@string{infocom = " INFOCOM"}
@string{isca = " Int.\ Symp.\ on Computer Architecture"}
@string{jpdc = "Journal of Parallel and Distributed Computing"}
@string{pads = " Workshop on Parallel and Distributed Simulation"}
@string{pennstate = "Pennsylvania State University"}
@string{proc = "Proc.\ "}
@string{sc = "Simulation Councils, Inc."}
@string{scs = "Society for Computer Simulation"}
@string{scsmcds = " SCS Multiconf. on Distributed Simulation"}
@string{tscs = "Trans.\ of the Society for Computer Simulation"}
@string{ut = "University of Toronto"}
@string{uw = "University of Waterloo"}
@string{wiley = "John Wiley \& Sons"}
@string{wsc = " Winter Simulation Conf."}

%
%   Copyright (c) 1999, 2000 by Bruno R. Preiss, P.Eng.
%
%   $Author: brpreiss $
%   $Date: 2004/11/13 13:48:41 $
%   $RCSfile: preiss.bib,v $
%   $Revision: 1.204 $
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%   $Id: preiss.bib,v 1.204 2004/11/13 13:48:41 brpreiss Exp $
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@techreport{brp:tr:1989c,
    url = home # "/reports/ccng/E-191/report.pdf",
    bibtex = home # "/reports/ccng/E-191/report.bib",
    author = "Bruno Richard Preiss and Wayne Mervin Loucks",
    title = "Prediction and Lookahead in Distributed Simulation",
    institution = ee # " and " # ccng # ", " # uw,
    type = "CCNG Technical Report",
    number = "E-191",
    year = 1989,
    pages = 22,
    copyright = ccng # ", " # uw,
    abstract =
    {
	This paper presents some of the results of an empirical
	study of the performance of sequential and
	distributed discrete event simulations
	of closed, stochastic queueing networks.
	We have simulated four different network topologies
	under various loads.
	We present results for both conservative and optimistic
	synchronization methods.
	\par
	In this paper we focus on the effects of lookahead and
	prediction on the communication and computation loads in distributed
	simulation.
	We have implemented four different versions of each
	simulation model---each with a different degree of lookahead.
	We present the lookahead ratio for each of these implementations
	and show how it is related to the average prediction per message.
	We argue that average prediction per message is an important parameter
	for characterizing the performance of distributed simulations.
	Average prediction per message is affected by network topology, load,
	lookahead, and the time synchronization method.
	We present empirical data relating average prediction per message to
	the communication and computation loads in our simulations.
    }
}