Mathematical Foundations of Computer Networking

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出版者:Addison Wesley
作者:Srinivasan Keshav
出品人:
页数:496
译者:
出版时间:2012-4-15
价格:GBP 67.99
装帧:Paperback
isbn号码:9780321792105
丛书系列:Addison-Wesley Professional Computing Series
图书标签:
  • 数学
  • 计算机科学
  • 网络编程
  • 2012
  • 计算机网络
  • 数学基础
  • 网络协议
  • 排队论
  • 概率论
  • 随机过程
  • 优化理论
  • 博弈论
  • 性能分析
  • 算法
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具体描述

"To design future networks that are worthy of society,s trust, we must put the 'discipline, of computer networking on a much stronger foundation. This book rises above the considerable minutiae of today,s networking technologies to emphasize the long-standing mathematical underpinnings of the field." -Professor Jennifer Rexford, Department of Computer Science, Princeton University "This book is exactly the one I have been waiting for the last couple of years. Recently, I decided most students were already very familiar with the way the net works but were not being taught the fundamentals-the math. This book contains the knowledge for people who will create and understand future communications systems." -Professor Jon Crowcroft, The Computer Laboratory, University of Cambridge The Essential Mathematical Principles Required to Design, Implement, or Evaluate Advanced Computer Networks Students, researchers, and professionals in computer networking require a firm conceptual understanding of its foundations. Mathematical Foundations of Computer Networking provides an intuitive yet rigorous introduction to these essential mathematical principles and techniques. Assuming a basic grasp of calculus, this book offers sufficient detail to serve as the only reference many readers will need. Each concept is described in four ways: intuitively; using appropriate mathematical notation; with a numerical example carefully chosen for its relevance to networking; and with a numerical exercise for the reader. The first part of the text presents basic concepts, and the second part introduces four theories in a progression that has been designed to gradually deepen readers, understanding. Within each part, chapters are as self-contained as possible. The first part covers probability; statistics; linear algebra; optimization; and signals, systems, and transforms. Topics range from Bayesian networks to hypothesis testing, and eigenvalue computation to Fourier transforms. These preliminary chapters establish a basis for the four theories covered in the second part of the book: queueing theory, game theory, control theory, and information theory. The second part also demonstrates how mathematical concepts can be applied to issues such as contention for limited resources, and the optimization of network responsiveness, stability, and throughput.

《Mathematical Foundations of Computer Networking》深入剖析计算机网络中支撑其运行的核心数学原理,为读者提供一套严谨而系统的理论框架,强调从基础模型到高级协议的数学解释。该书以清晰的逻辑结构展开,从图论、概率统计与信息论开始,逐步构建起网络行为的定量分析体系。首先,作者详细阐述了网络拓扑结构的数学表示,包括节点连接关系与路径优化问题,结合最短路径算法与流网络模型,解释如何通过图论工具求解数据传输中的效率最大化问题。书中特别注重随机过程在网络通信中的应用,深入探讨了排队理论与随机漫步模型,揭示拥塞控制、丢包现象背后的概率机制,使读者能从数学角度理解动态网络环境中的不确定性。信息论作为核心支柱之一,在书中被系统展开,通过熵、信道容量与编码定理的讲解,阐明数据传输的理论极限与压缩技术的数学基础,为现代通信协议提供理论依据。作者还专注于分布式系统中的共识算法,运用概率不等式与收敛速度分析,剖析Paxos、Raft等协议背后的数学逻辑,帮助读者把握去中心化网络中一致性保障的关键原则。网络安全部分以密码学为起点,系统讲解公钥加密、哈希函数与零知识证明的数学构造,强调安全性背后的计算复杂度假设,引导读者理解现代加密协议的可靠性来源。书中辅以丰富的数学推导与实际网络场景结合的例题,不仅深化对理论的理解,更培养将抽象模型应用于实际设计的能力。作者特别注重跨学科融合,将算法复杂度分析、随机过程建模与信息熵量化相统一,构建起贯穿网络协议全流程的数学视角。本书适合计算机网络研究者、系统工程师及进阶学生作为核心教材,通过扎实的理论训练,使读者掌握网络运行机制背后的数学语言,从而在设计高效、可靠、大规模通信系统时具备坚实基础。全书注重严谨性与应用性,既不回避复杂推导,也避免脱离现实场景的抽象讨论,为理解现代计算机网络提供了不可或缺的数学视角。

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