000 03750nam a2200517 i 4500
001 6267206
003 IEEE
005 20220712204558.0
006 m o d
007 cr |n|||||||||
008 151223s2003 maua ob 001 eng d
010 _z 84019456 (print)
020 _z9780262511445
_qprint
020 _a9780262255561
_qelectronic
020 _z0262010801
_qpaperback
035 _a(CaBNVSL)mat06267206
035 _a(IDAMS)0b000064818b417c
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.9.C65
_bA38 1984eb
082 0 0 _a001.64
_219
100 1 _aAgrawal, Subhash Chandra,
_eauthor.
_921493
245 1 0 _aMetamodeling :
_ba study of approximations in queueing models /
_cSubhash Chandra Agrawal.
264 1 _aCambridge, Massachusetts :
_bMIT Press,
_cc1984.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2003]
300 _a1 PDF (x, 262 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
500 _aIncludes index.
504 _aIncludes bibliographical references (p. )[189]-199.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aIn recent years, many approximate methods have been developed for analyzing queueing models of complex computer systems. These ad hoc methods usually focus on specific aspects of system operation, and appear to be different from one another, making it difficult to see the underlying principles of model development, to understand the relationship between different models of the same system, or to apply the existing methods to new situations. This book presents the first systematic study of approximation methods in queueing network modeling and of the way these methods are developed.Metamodeling identifies the underlying modeling process and provides tools and techniques for model development that will allow students and researchers to sort through the many different methods, understand them, and apply them to new problems. Using the metamodeling characterization, the book surveys and classifies a large number of approximation methods, catalogs a large number of useful model transformations, characterizes iterative solution procedures and gives theorems for proofs of convergence. This work has led to several other significant results, most notably: an approximation that works well for systems containing semaphores that serialize processes; and the discovery of multiple stable operating points for systems in which there are processes at several priority levels.Contents: Queueing Network Models of Computer Systems; The Structure of the Modeling Process; Behavior Sequence Transformations and Models with Shadow Servers; State Space Transformations; Consistent Solution, Iteration, and Convergence.Subhash Chandra Agrawal is R&D Project Manager with BGS Systems, Inc., Waltham, Massachusetts. This book inaugurates the MIT Press series in Computer Systems (Research Reports and Notes), edited by Herb Schwetman.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/23/2015.
650 0 _aDigital computer simulation.
_921494
650 0 _aElectronic digital computers
_xEvaluation.
_921495
650 0 _aQueuing theory.
_97764
650 0 _aApproximation theory.
_98253
655 0 _aElectronic books.
_93294
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_921496
710 2 _aMIT Press,
_epublisher.
_921497
776 0 8 _iPrint version
_z9780262511445
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267206
942 _cEBK
999 _c72864
_d72864