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020 _a9781139565363
_qelectronic book
039 9 _a201606081101
_basmany
_c201605251143
_dbaiti
_y10-16-2015
_zhafiz
_wUPO_10044530-hafizupload16102015.mrc
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040 _aUkCbUP
_cUkCbUP
_erda
050 0 0 _aebookQA274.2
_b.K45 2014
090 _aebook
100 1 _aKelly, Frank,
_eauthor.
245 1 0 _aStochastic Networks /
_cFrank Kelly, Elena Yudovina.
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (231 pages) :
_bdigital, PDF file(s).
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 0 _aInstitute of Mathematical Statistics Textbooks ;
_vno. 2
500 _aTitle from publisher's bibliographic system (viewed on 08 Oct 2015).
520 _aCommunication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.
650 0 _aStochastic models
700 1 _aYudovina, Elena,
_eauthor.
773 0 _tCambridge Books Online
776 0 8 _iPrint version:
_z9781107035775
830 0 _aInstitute of Mathematical Statistics Textbooks ;
_vno. 2.
856 4 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=http://dx.doi.org/10.1017/CBO9781139565363
907 _a.b16220274
_b2022-09-28
_c2019-11-12
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998 _ae
_b2015-03-10
_cm
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_genk
_y0
_z.b16220274
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