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Designing Reliable Distributed Systems A Formal Methods Approach Based on Executable Modeling in Maude cover

Designing Reliable Distributed Systems A Formal Methods Approach Based on Executable Modeling in Maude

by Peter Csaba Ölveczky

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About this book

This classroom-tested textbook provides an accessible introduction to the design, formal modeling, and analysis of distributed computer systems. The book uses Maude, a rewriting logic-based language and simulation and model checking tool, which offers a simple and intuitive modeling formalism that is suitable for modeling distributed systems in an attractive object-oriented and functional programming style.<p></p>Topics and features: introduces classical algebraic specification and term rewriting theory, including reasoning about termination, confluence, and equational properties; covers object-oriented modeling of distributed systems using rewriting logic, as well as temporal logic to specify requirements that a system should satisfy; provides a range of examples and case studies from different domains, to help the reader to develop an intuitive understanding of distributed systems and their design challenges; examples include classic distributed systems such as transport protocols, cryptographic protocols, and distributed transactions, leader election, and mutual execution algorithms; contains a wealth of exercises, including larger exercises suitable for course projects, and supplies executable code and supplementary material at an associated website.<p></p><p></p><p></p><p>This self-contained textbook is designed to support undergraduate courses on formal methods and distributed systems, and will prove invaluable to any student seeking a reader-friendly introduction to formal specification, logics and inference systems, and automated model checking techniques.</p>

Details

Format
Paperback
Pages
313
Publisher
Springer London
Language
EN
Edition
1st ed. 2017
ISBN-13
9781447166863
ISBN-10
1447166868

Categories

Computers, Software Development & Engineering, Computer Simulation, Computer Science