| 000 | 03161nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-79980-8 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163606.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 221029s2010 sz | s |||| 0|eng d | ||
| 020 |
_a9783031799808 _9978-3-031-79980-8 |
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| 024 | 7 |
_a10.1007/978-3-031-79980-8 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
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| 072 | 7 |
_aUYQ _2thema |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aMazumdar, Ravi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979392 |
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| 245 | 1 | 0 |
_aPerformance Modeling, Loss Networks, and Statistical Multiplexing _h[electronic resource] / _cby Ravi Mazumdar. |
| 250 | _a1st ed. 2010. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2010. |
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| 300 |
_aIV, 151 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Learning, Networks, and Algorithms, _x2690-4314 |
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| 505 | 0 | _aIntroduction to Traffic Models and Analysis -- Queues and Performance Analysis -- Loss Models for Networks -- Statistical Multiplexing. | |
| 520 | _aThis monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of understanding the phenomenon of statistical multiplexing. The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in performance measures. Also presented are recent ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed presentation of loss network models and accurate approximations for large networks. Table of Contents: Introduction to Traffic Models and Analysis / Queues and Performance Analysis / Loss Models for Networks / Statistical Multiplexing. | ||
| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 0 |
_aCooperating objects (Computer systems). _96195 |
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| 650 | 0 |
_aProgramming languages (Electronic computers). _97503 |
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| 650 | 0 |
_aTelecommunication. _910437 |
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| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aCyber-Physical Systems. _932475 |
| 650 | 2 | 4 |
_aProgramming Language. _939403 |
| 650 | 2 | 4 |
_aCommunications Engineering, Networks. _931570 |
| 710 | 2 |
_aSpringerLink (Online service) _979393 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031799792 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031799815 |
| 830 | 0 |
_aSynthesis Lectures on Learning, Networks, and Algorithms, _x2690-4314 _979394 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-79980-8 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c84773 _d84773 |
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