## Computer Networks and Systems: Queueing Theory and Performance EvaluationStatistical performance evaluation has assumed an increasing amount of importance as we seek to design more and more sophisticated communication and information processing systems. The ability to predict a proposed system's per formance before one constructs it is an extremely cost effective design tool. This book is meant to be a first-year graduate level introduction to the field of statistical performance evaluation. It is intended for people who work with sta tistical performance evaluation including engineers, computer scientists and applied mathematicians. As such, it covers continuous time queueing theory (chapters 1-4), stochastic Petri networks (chapter 5), discrete time queueing theory (chapter 6) and recent network traffic modeling work (chapter 7). There is a short appendix at the end of the book that reviews basic probability theory. This material can be taught as a complete semester long course in performance evalua tion or queueing theory. Alternatively, one may teach only chapters 2 and 6 in the first half of an introductory computer networking course, as is done at Stony Brook. The second half of the course could use a more protocol oriented text such as ones by Saadawi [SAAD] or Stallings [STALl What is new in the third edition of this book? In addition to the well received material of the second edition, this edition has three major new features. |

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### Contents

I | 1 |

II | 2 |

III | 6 |

IV | 9 |

V | 11 |

VI | 13 |

VII | 19 |

VIII | 20 |

LXXIII | 219 |

LXXIV | 220 |

LXXV | 223 |

LXXVII | 224 |

LXXVIII | 226 |

LXXIX | 228 |

LXXX | 230 |

LXXXI | 232 |

IX | 22 |

X | 25 |

XI | 27 |

XII | 28 |

XIII | 29 |

XIV | 30 |

XV | 32 |

XVI | 37 |

XVII | 43 |

XVIII | 47 |

XIX | 48 |

XX | 51 |

XXI | 53 |

XXII | 55 |

XXIII | 56 |

XXIV | 59 |

XXV | 61 |

XXVI | 64 |

XXVII | 65 |

XXVIII | 68 |

XXIX | 69 |

XXX | 72 |

XXXI | 74 |

XXXII | 83 |

XXXIII | 85 |

XXXIV | 89 |

XXXV | 91 |

XXXVI | 92 |

XXXVII | 101 |

XXXVIII | 102 |

XXXIX | 103 |

XL | 104 |

XLI | 108 |

XLIII | 111 |

XLIV | 112 |

XLV | 118 |

XLVI | 130 |

XLVII | 132 |

XLVIII | 135 |

XLIX | 141 |

LI | 142 |

LII | 147 |

LIII | 148 |

LIV | 155 |

LV | 156 |

LVI | 163 |

LVII | 164 |

LVIII | 166 |

LIX | 170 |

LX | 197 |

LXII | 202 |

LXIII | 203 |

LXIV | 206 |

LXV | 207 |

LXVI | 208 |

LXVII | 211 |

LXVIII | 212 |

LXX | 214 |

LXXI | 216 |

LXXII | 218 |

LXXXII | 237 |

LXXXIII | 238 |

LXXXIV | 243 |

LXXXV | 249 |

LXXXVI | 251 |

LXXXVII | 253 |

LXXXVIII | 256 |

LXXXIX | 257 |

XC | 263 |

XCI | 268 |

XCII | 269 |

XCIII | 270 |

XCIV | 275 |

XCV | 276 |

XCVI | 280 |

XCVII | 282 |

XCVIII | 284 |

XCIX | 288 |

C | 290 |

CI | 294 |

CII | 297 |

CIII | 300 |

CIV | 303 |

CV | 308 |

CVI | 309 |

CVII | 310 |

CVIII | 312 |

CIX | 315 |

CX | 319 |

CXI | 320 |

CXII | 333 |

CXIII | 334 |

CXV | 336 |

CXVII | 337 |

CXX | 338 |

CXXIV | 339 |

CXXVIII | 340 |

CXXX | 341 |

CXXXIII | 342 |

CXXXVII | 343 |

CXL | 344 |

CXLII | 346 |

CXLIII | 347 |

CXLV | 348 |

CXLVII | 350 |

CXLVIII | 352 |

CXLIX | 353 |

CLI | 354 |

CLII | 355 |

CLIII | 357 |

CLIV | 358 |

CLV | 360 |

CLVI | 361 |

CLVII | 362 |

CLVIII | 363 |

CLXI | 365 |

CLXII | 403 |

405 | |

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### Common terms and phrases

algorithm analysis appears approach arrival arrival rate associated assumed average balance equations Bernoulli buffer building blocks calculate called chapter closed Consider consists constant continuous corresponds cyclic delay departure dependent described discrete discussed distribution Draw empty enter equal equilibrium state probabilities equivalent example exist exponential expression Figure Find flow four function given global IEEE independent input instant interest leaving length look Markovian mean mean throughput Naturally negative node normalization Note number of customers occur original output packet performance Petri Poisson process positive possible probability problem processor product form solution queueing network queueing system random recursive reference resource self-similar sequence server service rate shown simulation single slot solve station statistics structure switch Table task techniques tion traffic transition diagram values variables waiting write

### References to this book

Vacation Queueing Models: Theory and Applications Naishuo Tian,Zhe George Zhang No preview available - 2006 |