"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."
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