Guide to Distributed Algorithms

Design, Analysis and Implementation Using Python

von K. Erciyes

298 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

The study of distributed algorithms provides the needed background in many real-life applications, such as:  distributed real-time systems, wireless sensor networks, mobile ad hoc networks and distributed databases.

The main goal of
Guide to Distributed Algorithms
is to provide a detailed study of the design and analysis methods of distributed algorithms and to supply the implementations of most of the presented algorithms in Python language, which is the unique feature of the book not found in any other contemporary books on distributed computing.

Topics and features:

Presents comprehensive design methods for distributed algorithms

Provides detailed analysis for the algorithms presented

Uses graph templates to demonstrate the working of algorithms

Provides working Python code for most of the algorithms presented

This unique textbook/study manual can serve as a comprehensive manual of distributed algorithms for Computer Science and non-CS majors as well as practitioners of distributed algorithms in research projects.

• Reihe: Undergraduate Topics in Computer Science
• ISBN: 9783031790171
• Sprache: Englisch
• Erscheinungsdatum: 23.04.2025
• Genre: Informatik, EDV/Informatik
• Verlag: Springer International Publishing