LEADER 01248nam2-2200385li-450 001 990000231280203316 005 20180312154805.0 010 $a0-8247-8672-6 035 $a0023128 035 $aUSA010023128 035 $a(ALEPH)000023128USA01 035 $a0023128 100 $a2001998101992-------y0itay0103----ba 101 0 $aeng 102 $aUS 200 1 $aTheory of distributions$fM. A. Al-Gwaiz 210 $aNew York$cMarcel Dekker$dcopyr. 1992 215 $aIX, 257 p.$cill.$d23 cm 225 2 $aa series of monographs and textbooks$v159 410 0$10010023065$12001$aa series of monographs and textbooks$vPure and applied mathematics 610 1 $ateoria della distribuzione 676 $a515782$9Teoria della distibuzione 700 1$aAl_Gwaiz,$bM. A.$059598 801 $aSistema bibliotecario di Ateneo dell' Università di Salerno$gRICA 912 $a990000231280203316 951 $a515 PAMD (159)$b22476/CBS$c515$d00219700 959 $aBK 969 $aSCI 979 $c19981001 979 $c20001110$lUSA01$h1714 979 $c20020403$lUSA01$h1631 979 $aPATRY$b90$c20040406$lUSA01$h1617 979 $aRSIAV7$b90$c20090513$lUSA01$h1024 996 $aTheory of distributions$9349685 997 $aUNISA LEADER 02476nam 2200601 a 450 001 9911019638903321 005 20200520144314.0 010 $a9786610856077 010 $a9781280856075 010 $a1280856076 010 $a9780470515099 010 $a0470515090 010 $a9780470515082 010 $a0470515082 035 $a(CKB)1000000000357379 035 $a(EBL)292598 035 $a(OCoLC)476052648 035 $a(SSID)ssj0000189258 035 $a(PQKBManifestationID)11196661 035 $a(PQKBTitleCode)TC0000189258 035 $a(PQKBWorkID)10156230 035 $a(PQKB)10469687 035 $a(MiAaPQ)EBC292598 035 $a(Perlego)2763042 035 $a(EXLCZ)991000000000357379 100 $a20070803d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLarge deviations for Gaussian queues $emodelling communication networks /$fMichel Mandjes 210 $aChichester $cWiley$dc2007 215 $a1 online resource (338 p.) 300 $aDescription based upon print version of record. 311 08$a9780470015230 311 08$a0470015233 320 $aIncludes bibliographical references and index. 327 $apt. A. Gaussian traffic and large deviations -- pt. B. Large deviations of Gaussian queues -- pt. C. Applications. 330 $aIn recent years the significance of Gaussian processes to communication networks has grown considerably. The inherent flexibility of the Gaussian traffic model enables the analysis, in a single mathematical framework, of systems with both long-range and short-range dependent input streams. Large Deviations for Gaussian Queues demonstrates how the Gaussian traffic model arises naturally, and how the analysis of the corresponding queuing model can be performed. The text provides a general introduction to Gaussian queues, and surveys recent research into the modelling of communications n 606 $aGaussian processes 606 $aTelecommunication$xTraffic$xMathematical models 615 0$aGaussian processes. 615 0$aTelecommunication$xTraffic$xMathematical models. 676 $a621.38215015192 700 $aMandjes$b Michel$g(Michael Robertus Hendrikus),$f1970-$0755624 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019638903321 996 $aLarge deviations for Gaussian queues$94419109 997 $aUNINA