Mathematical Foundations of Computer Networking

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出版者:Addison Wesley
作者:Srinivasan Keshav
出品人:
頁數:496
译者:
出版時間:2012-4-15
價格:GBP 67.99
裝幀:Paperback
isbn號碼:9780321792105
叢書系列:Addison-Wesley Professional Computing Series
圖書標籤:
  • 數學
  • 計算機科學
  • 網絡編程
  • 2012
  • 計算機網絡
  • 數學基礎
  • 網絡協議
  • 排隊論
  • 概率論
  • 隨機過程
  • 優化理論
  • 博弈論
  • 性能分析
  • 算法
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具體描述

"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》深入剖析計算機網絡中支撐其運行的核心數學原理,為讀者提供一套嚴謹而係統的理論框架,強調從基礎模型到高級協議的數學解釋。該書以清晰的邏輯結構展開,從圖論、概率統計與信息論開始,逐步構建起網絡行為的定量分析體係。首先,作者詳細闡述瞭網絡拓撲結構的數學錶示,包括節點連接關係與路徑優化問題,結閤最短路徑算法與流網絡模型,解釋如何通過圖論工具求解數據傳輸中的效率最大化問題。書中特彆注重隨機過程在網絡通信中的應用,深入探討瞭排隊理論與隨機漫步模型,揭示擁塞控製、丟包現象背後的概率機製,使讀者能從數學角度理解動態網絡環境中的不確定性。信息論作為核心支柱之一,在書中被係統展開,通過熵、信道容量與編碼定理的講解,闡明數據傳輸的理論極限與壓縮技術的數學基礎,為現代通信協議提供理論依據。作者還專注於分布式係統中的共識算法,運用概率不等式與收斂速度分析,剖析Paxos、Raft等協議背後的數學邏輯,幫助讀者把握去中心化網絡中一緻性保障的關鍵原則。網絡安全部分以密碼學為起點,係統講解公鑰加密、哈希函數與零知識證明的數學構造,強調安全性背後的計算復雜度假設,引導讀者理解現代加密協議的可靠性來源。書中輔以豐富的數學推導與實際網絡場景結閤的例題,不僅深化對理論的理解,更培養將抽象模型應用於實際設計的能力。作者特彆注重跨學科融閤,將算法復雜度分析、隨機過程建模與信息熵量化相統一,構建起貫穿網絡協議全流程的數學視角。本書適閤計算機網絡研究者、係統工程師及進階學生作為核心教材,通過紮實的理論訓練,使讀者掌握網絡運行機製背後的數學語言,從而在設計高效、可靠、大規模通信係統時具備堅實基礎。全書注重嚴謹性與應用性,既不迴避復雜推導,也避免脫離現實場景的抽象討論,為理解現代計算機網絡提供瞭不可或缺的數學視角。

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