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020 _a9783540445920
_9978-3-540-44592-0
024 7 _a10.1007/3-540-44592-7
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aDaduna, Hans.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aQueueing Networks with Discrete Time Scale
_h[electronic resource] :
_bExplicit Expressions for the Steady State Behavior of Discrete Time Stochastic Networks /
_cby Hans Daduna.
250 _a1st ed. 2001.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2001.
300 _aX, 142 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2046
505 0 _aState dependent Bernoulli Servers -- Closed Cycles of State Dependent Bernoulli Servers with Different Customer Types -- Open Tandems of State Dependent Bernoulli Servers with Different Customer Types -- Networks with Doubly Stochastic and Geometrical Servers -- General Networks with Batch Movements and Batch Services.
520 _aBuilding on classical queueing theory mainly dealing with single node queueing systems, networks of queues, or stochastic networks has been a field of intensive research over the last three decades. Whereas the first breakthrough in queueing network theory was initiated by problems and work in operations research, the second breakthrough, as well as subsequent major work in the area, was closely related to computer science, particularly to performance analysis of complex systems in computer and communication science. The text reports on recent research and development in the area. It is centered around explicit expressions for the steady behavior of discrete time queueing networks and gives a moderately positive answer to the question of whether there can be a product form calculus in discrete time. Originating from a course given by the author at Hamburg University, this book is ideally suited as a text for courses on discrete time stochastic networks.
650 0 _aComputer networks .
650 0 _aProbabilities.
650 0 _aComputer engineering.
650 0 _aElectronic digital computers
_xEvaluation.
650 0 _aOperating systems (Computers).
650 0 _aBusiness information services.
650 1 4 _aComputer Communication Networks.
650 2 4 _aProbability Theory.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aSystem Performance and Evaluation.
650 2 4 _aOperating Systems.
650 2 4 _aIT in Business.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540423577
776 0 8 _iPrinted edition:
_z9783662182765
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2046
856 4 0 _uhttps://doi.org/10.1007/3-540-44592-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
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942 _cSPRINGER
999 _c189231
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