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Distributed Algorithms - An Intuitive Approach (Hardcover, second edition)
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Distributed Algorithms - An Intuitive Approach (Hardcover, second edition)
Series: Distributed Algorithms
Expected to ship within 9 - 15 working days
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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.
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