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計算機系統(tǒng)研究基礎(國內(nèi)英文版)

計算機系統(tǒng)研究基礎(國內(nèi)英文版)

定 價:¥59.00

作 者: 施巍松 主編
出版社: 高等教育出版社
叢編項:
標 簽: 計算機理論

ISBN: 9787040290639 出版時間: 2010-10-01 包裝: 平裝
開本: 16開 頁數(shù): 267 字數(shù):  

內(nèi)容簡介

  自從計算機問世以來,計算機系統(tǒng)結(jié)構的研究重點發(fā)生了很多變化,這讓一些希望從事這方面研究的新手覺得很難入門。作者根據(jù)多年從事研究和指導研究生的經(jīng)驗,把計算機系統(tǒng)研究中最常用的原理和關鍵技術匯集在一起。在基本知識部分,作者描述了從事系統(tǒng)結(jié)構研究的基本要領,包括如何讀、寫、說,以及英文寫作最常見的問題,并給出了12個最經(jīng)典的設計原理和經(jīng)驗。在關鍵技術部分,作者從建模、設計、實現(xiàn)和性能評測方面選擇了15個關鍵技術進行了詳細的討論和描述,每一個關鍵技術的題目都經(jīng)過精心挑選,并且提供多個實例分析?!队嬎銠C系統(tǒng)研究基礎(英文版)》可供計算機系統(tǒng)結(jié)構初學者使用,也可供高年級本科生和研究生在學習有關課程時參考。

作者簡介

  施巍松,美國韋恩州立大學計算機科學系副教授,移動和因特網(wǎng)系統(tǒng)結(jié)構實驗室主任,可持續(xù)計算實驗室主任。美國國家科學基金會杰出青年教授獎獲得者,全國百篇優(yōu)秀博士論文獲得者。IEEE資深會員,IEEE Internet Computing及Joumal of Parallel and Distriibuted Computinq客座編輯,Journal of Computer Scierice and Techology及International Journal of Sensor Networks編委。施巍松博士的研究興趣包括計算機系統(tǒng)和可持續(xù)計算等。

圖書目錄

Part I General
Elements
1.1 Top Systems Conferences/Journals
1.2 How to Read a Research Paper
1.3 How to Write a Research Paper
1.3.1 Abstract
1.3.2 Introduction
1.3.3 Background Information/Problem Statement
1.3.4 Your Approach
1.3.5 Implementation
1.3.6 Performance Evaluation
1.3.7 Related Work
1.3.8 Conclusions
1.3.9 Acknowledgement
1.3.10 References
1.3.11 Most Common Mistakes in Paper Writing
1.4 How to Give a Presentation
1.4.1 General Approach
1.4.2 Understanding the Paper
1.4.3 Adapting the Paper for Presentation
1.4.4 Slides
1.4.5 The Dry-Run
1.4.6 To Memorize or not to Memorize?
1.4.7 You Are on the Stage
1.4.8 Interacting with the Audience and Dealing with Questions
1.5 Final Words: On Being a Scientist
References
2 Rules of Thumb
2.1 Rules of Thumb
2.2 Further Readings
References
Part Ⅱ Design
3 Bloom Filters
3.1 Introduction
3.2 Standard Bloom Filters
3.2.1 Basic Idea of Bloom Filters
3.2.2 False Positive Rate Estimation
3.2.3 Optimal Number of Hash Functions
3.2.4 Another Method of Implementing
3.3 Counting Bloom Filters
3.4 Compressed Bloom Filters
3.5 D-left Counting Bloom Filters
3.5.1 D-left Hashing
3.5.2 D-left Counting Bloom Filters
3.5.3 Performance
3.6 Spectral Bloom Filters
3.6.1 Basic Principle of SBF
3.6.2 SBF Frequency Query Optimization
3.7 Dynamic Counting Bloom Filters
3.8 Case Studies
3.8.1 Case Study 1: Summary Cache
3.8.2 Case Study 2: IP Traceback
3.9 Conclusion.
References
4 Distributed Hash Tables
4.1 Introduction
4.2 An Overview of DHT
4.3 The Overlay Network of DHT
4.4 Chord: An Implementation of DHT.
4.4.1 Topology of Chord
4.4.2 Key Lookup in Chord
4.4.3 Dynamic Updates and Failure Recovery
4.5 Case Study 1: Cooperative Domain Name System (CoDoNS)
4.5.1 Background and Motivation
4.5.2 Overview of the System
4.5.3 DHT in CoDoNS
4.5.4 Evaluation
4.6 Case Study 2: Cooperative File System (CFS)
4.6.1 Background and Motivation.
4.6.2 Overview of the System
4.6.3 DHT in CFS
4.6.4 Evaluation
References
5 Locality Sensitive Hashing
5.1 Introduction
5.1.1 Basic Idea of LSH
5.1.2 The Origin of LSH
5.2 Overview.
5.2.1 The Definition
5.2.2 Properties of LSH
5.2.3 Several LSH Families
5.2.4 Approximate Nearest Neighbor
5.3 Case Study 1: Large-Scale Sequence Comparison
5.3.1 Theory
5.3.2 Algorithm Complexity
5.3.3 Implementation Details
5.3.4 Results
5.4 Case Study 2: Image Retrieval
5.4.1 Motivation
5.4.2 The Problems of Existing Approaches
5.4.3 The System
5.4.4 Results
References
6 XOR Operations
6.1 Introduction
6.2 XOR Operation
6.2.1 Truth Table
6.2.2 Set Diagrams
6.3 XOR Properties
6.4 Compress with XOR
6.4.1 Case Study 1: XOR-linked list
6.4.2 Case Study 2: XOR swap algorithm.
6.5 Fault Tolerance
6.5.1 Case Study 3: Hamming (7,4) code
6.5.2 Hamming Codes with Additional Parity
6.5.3 Case Study 4: RAID
6.6 Case Study 5: Feistel Cipher
6.7 Case Study 6: Kademlia
6.7.1 XOR Metric in Kademlia
6.7.2 Routing Table in Kademlia
6.7.3 Kademlia Protocol
6.8 Conclusion.
References
7 Adaptation
8 Optimistic Replication.
9 Reputation and Trust
10 Moving Average
Part Ⅲ Implementation
Part Ⅳ Evalution

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