Read Distributed Algorithms: An Intuitive Approach

Distributed Algorithms: An Intuitive Approach

Wan Fokkink

4.9/5 (31525 ratings)

Description:The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models.This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within a relatively short span of time. Algorithms are explained through brief, informal descriptions, illuminating examples, and practical exercises. The examples and exercises allow readers to understand algorithms intuitively and from different perspectives. Proof sketches, arguing the correctness of an algorithm or explaining the idea behind fundamental results, are also included. The algorithms presented in the book are for the most part "classics," selected because they shed light on the algorithmic design of distributed systems or on key issues in distributed computing and concurrent programming.This second edition has been substantially revised. A new chapter on distributed transaction offers up-to-date treatment of database transactions and the important evolving area of transactional memory. A new chapter on security discusses two exciting new topics: blockchains and quantum cryptography. Sections have been added that cover such subjects as rollback recovery, fault-tolerant termination detection, and consensus for shared memory. An appendix offers pseudocode descriptions of many algorithms. Solutions and slides are available for instructors.Distributed Algorithms can be used in courses for upper-level undergraduates or graduate students in computer science, or as a reference for researchers in the field.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Distributed Algorithms: An Intuitive Approach. To get started finding Distributed Algorithms: An Intuitive Approach, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 0262037661

Description: The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models.This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within a relatively short span of time. Algorithms are explained through brief, informal descriptions, illuminating examples, and practical exercises. The examples and exercises allow readers to understand algorithms intuitively and from different perspectives. Proof sketches, arguing the correctness of an algorithm or explaining the idea behind fundamental results, are also included. The algorithms presented in the book are for the most part "classics," selected because they shed light on the algorithmic design of distributed systems or on key issues in distributed computing and concurrent programming.This second edition has been substantially revised. A new chapter on distributed transaction offers up-to-date treatment of database transactions and the important evolving area of transactional memory. A new chapter on security discusses two exciting new topics: blockchains and quantum cryptography. Sections have been added that cover such subjects as rollback recovery, fault-tolerant termination detection, and consensus for shared memory. An appendix offers pseudocode descriptions of many algorithms. Solutions and slides are available for instructors.Distributed Algorithms can be used in courses for upper-level undergraduates or graduate students in computer science, or as a reference for researchers in the field.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Distributed Algorithms: An Intuitive Approach. To get started finding Distributed Algorithms: An Intuitive Approach, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Distributed Algorithms: An Intuitive Approach

Distributed Algorithms: An Intuitive Approach

More Books

Introduction to Process Algebra (Texts in Theoretical Computer Science. An EATCS Series) by Wan Fokkink (2000-02-03)

Introduction to Process Algebra (Texts in Theoretical Computer Science. An EATCS Series) by Wan Fokkink (2000-02-03)

Modelling Distributed Systems (Texts in Theoretical Computer Science. An EATCS Series)

Modelling Distributed Systems (Texts in Theoretical Computer Science. An EATCS Series)

Introduction to Process Algebra (Texts in Theoretical Computer Science. An EATCS Series) by Wan Fokkink (2010-12-07)

Introduction to Process Algebra (Texts in Theoretical Computer Science. An EATCS Series) by Wan Fokkink (2010-12-07)

Introduction to Process Algebra (Texts in Theoretical Computer Science. An EATCS Series) by Wan Fokkink (1999-12-23)

Introduction to Process Algebra (Texts in Theoretical Computer Science. An EATCS Series) by Wan Fokkink (1999-12-23)

Introduction to Process Algebra (Texts in Theoretical Computer Science. An EATCS Series)

Introduction to Process Algebra (Texts in Theoretical Computer Science. An EATCS Series)