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Distributed Programming : Theory and Practice / by A. Udaya Shankar.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Shankar, A. Udaya, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Language:
English
Subjects (All):
Computer networks.
Computer programming.
Software engineering.
Computers.
Computer logic.
Computer Communication Networks.
Programming Techniques.
Software Engineering.
Models and Principles.
Logics and Meanings of Programs.
Local Subjects:
Computer Communication Networks.
Programming Techniques.
Software Engineering.
Models and Principles.
Logics and Meanings of Programs.
Physical Description:
1 online resource (XVIII, 386 pages)
Edition:
First edition 2013.
Contained In:
Springer eBooks
Place of Publication:
New York, NY : Springer New York : Imprint: Springer, 2013.
System Details:
text file PDF
Summary:
Distributed Programming: Theory and Practice presents a practical and rigorous method to develop distributed programs that correctly implement their specifications. The method also covers how to write specifications and how to use them. Numerous examples such as bounded buffers, distributed locks, message-passing services, and distributed termination detection illustrate the method. Larger examples include data transfer protocols, distributed shared memory, and TCP network sockets. Distributed Programming: Theory and Practice bridges the gap between books that focus on specific concurrent programming languages and books that focus on distributed algorithms. Programs are written in a "real-life" programming notation, along the lines of Java and Python with explicit instantiation of threads and programs. Students and programmers will see these as programs and not "merely" algorithms in pseudo-code. The programs implement interesting algorithms and solve problems that are large enough to serve as projects in programming classes and software engineering classes. Exercises and examples are included at the end of each chapter with on-line access to the solutions. Distributed Programming: Theory and Practice is designed as an advanced-level text book for students in computer science and electrical engineering. Programmers, software engineers and researchers working in this field will also find this book useful.
Contents:
Introduction
Simple Lock
Bounded Buffer
Message-Passing Services
Fifo Channels from Unreliable Channels
Programs, Semantics and Effective Atomicity
Implements and Compositionality
SESF for Time-Constrained Programs
Lock using Peterson's Algorithm
Lock using the Bakery Algorithm
Distributed Lock Service
Distributed Lock using Timestamps
Channel with Termination Detection Service
Termination Detection for Diffusing Computations
Object-Transfer Service
Object Transfer using Path Reversal
Distributed Shared Memory Service
A Single-Copy Distributed Shared Memory
A Multi-Copy Distributed Shared Memory
Reliable Transport Service
Reliable Transport Protocol.
Other Format:
Printed edition:
ISBN:
978-1-4614-4881-5
9781461448815
Access Restriction:
Restricted for use by site license.

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