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Introduction to Distributed Computer Systems, Czaja


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Цена: 13974.00р.
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Автор: Czaja
Название:  Introduction to Distributed Computer Systems
ISBN: 9783319720227
Издательство: Springer
Классификация:


ISBN-10: 3319720228
Обложка/Формат: Paperback
Страницы: 259
Вес: 0.58 кг.
Дата издания: 2018
Серия: Lecture Notes in Networks and Systems
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 100 tables, color; 1 illustrations, color; 90 illustrations, black and white; xviii, 259 p. 91 illus., 1 illus. in color.
Размер: 234 x 156 x 15
Читательская аудитория: General (us: trade)
Основная тема: Computational Intelligence
Подзаголовок: Principles and Features
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book introduces readers to selected issues in distributed systems, and primarily focuses on principles, not on technical details. Though the systems discussed are based on existing (von Neumann) computer architectures, the book also touches on emerging processing paradigms.


Introduction to algorithms  3 ed.

Автор: Cormen, Thomas H., E
Название: Introduction to algorithms 3 ed.
ISBN: 0262033844 ISBN-13(EAN): 9780262033848
Издательство: MIT Press
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Цена: 27588.00 р.
Наличие на складе: Нет в наличии.

Описание: A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-base flow.

Introduction to Distributed Self-Stabilizing Algorithms

Автор: Karine Altisen, Stephane Devismes, Swan Dubois, Franck Petit
Название: Introduction to Distributed Self-Stabilizing Algorithms
ISBN: 1681735369 ISBN-13(EAN): 9781681735368
Издательство: Mare Nostrum (Eurospan)
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Цена: 10811.00 р.
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Описание: This book aims at being a comprehensive and pedagogical introduction to the concept of self-stabilization , introduced by Edsger Wybe Dijkstra in 1973. Self-stabilization characterizes the ability of a distributed algorithm to converge within finite time to a configuration from which its behavior is correct (i.e., satisfies a given specification), regardless the arbitrary initial configuration of the system. This arbitrary initial configuration may be the result of the occurrence of a finite number of transient faults. Hence, self-stabilization is actually considered as a versatile non-masking fault tolerance approach, since it recovers from the effect of any finite number of such faults in a unified manner. Another major interest of such an automatic recovery method comes from the difficulty of resetting malfunctioning devices in a large-scale (and so, geographically spread) distributed system (the Internet, Pair-to-Pair networks, and Delay Tolerant Networks are examples of such distributed systems). Furthermore, self-stabilization is usually recognized as a lightweight property to achieve fault tolerance as compared to other classical fault tolerance approaches. Indeed, the overhead, both in terms of time and space, of state-of-the-art self-stabilizing algorithms is commonly small. This makes self-stabilization very attractive for distributed systems equipped of processes with low computational and memory capabilities, such as wireless sensor networks. After more than 40 years of existence, self-stabilization is now sufficiently established as an important field of research in theoretical distributed computing to justify its teaching in advanced research-oriented graduate courses. This book is an initiation course, which consists of the formal definition of self-stabilization and its related concepts, followed by a deep review and study of classical (simple) algorithms, commonly used proof schemes and design patterns, as well as premium results issued from the self-stabilizing community. As often happens in the self-stabilizing area, in this book we focus on the proof of correctness and the analytical complexity of the studied distributed self-stabilizing algorithms. Finally, we underline that most of the algorithms studied in this book are actually dedicated to the high-level atomic-state model , which is the most commonly used computational model in the self-stabilizing area. However, in the last chapter, we present general techniques to achieve self-stabilization in the low-level message passing model, as well as example algorithms.

Designing Distributed Control Systems

Автор: Eloranta Veli Pekka
Название: Designing Distributed Control Systems
ISBN: 1118694155 ISBN-13(EAN): 9781118694152
Издательство: Wiley
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Цена: 6653.00 р.
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Описание: Designing Distributed Control Systems presents 80 patterns for designing distributed machine control system software architecture (forestry machinery, mining drills, elevators, etc.).

Distributed Systems: An Algorithmic Approach, Second Edition

Автор: Ghosh Sukumar
Название: Distributed Systems: An Algorithmic Approach, Second Edition
ISBN: 1466552972 ISBN-13(EAN): 9781466552975
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание:

Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible--clarity is given priority over mathematical formalism. This easily digestible text:

  • Features significant updates that mirror the phenomenal growth of distributed systems
  • Explores new topics related to peer-to-peer and social networks
  • Includes fresh exercises, examples, and case studies

Supplying a solid understanding of the key principles of distributed computing and their relationship to real-world applications, Distributed Systems: An Algorithmic Approach, Second Edition makes both an ideal textbook and a handy professional reference.

Advanced distributed measuring systems - exhibits of applications

Название: Advanced distributed measuring systems - exhibits of applications
ISBN: 8792329721 ISBN-13(EAN): 9788792329721
Издательство: Taylor&Francis
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Цена: 14851.00 р.
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Описание: Measuring systems are an essential part of all automated production systems. They can serve to ensure the quality of production, or they can be used to assure the reliability and safety in various areas. The same applies in principle for fields of telecommunication, energy production and distribution, health care, etc. Similarly, no serious scientific research in the field of natural and technical sciences can be performed without objective data about the investigated object, which is usually acquired using measuring system. Demands on the speed and accuracy of measurement increase in all areas in general. These are the grounds for publishing this book.

Advanced Distributed Measuring Systems: Exhibits of Application offers eight up-to-date examples of typical laboratory, industrial, and biomedical applications of advanced measuring and information systems, including virtual instrumentation. The book arose based on the most interesting papers from this area published at IDAACS 2011 conference. However, single chapters include not only system design solution in wider context but also relevant theoretical parts, achieved results, and possible future ways of design and development.

Technical topics discussed in the book include:
- embedded applications;
- small distributed systems;
- automotive distributed system;
- distributed monitoring systems based on wireless networks;
- synchronization in large DAQ systems;
- virtual instrumentation.

Advanced Distributed Measuring Systems: Exhibits of Application is ideal for personnel of firms dealing with control systems, automotive electronics, airspace instrumentation, health care technology, etc. as well as academic staff and postgraduate students in electrical, control, and computer engineering.

Applying Integration Techniques and Methods in Distributed Systems

Автор: Gabor Kecskemeti
Название: Applying Integration Techniques and Methods in Distributed Systems
ISBN: 1522582959 ISBN-13(EAN): 9781522582953
Издательство: Mare Nostrum (Eurospan)
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Цена: 35897.00 р.
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Описание: Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. Applying Integration Techniques and Methods in Distributed Systems is a critical scholarly publication that defines the current state of distributed systems, determines further goals, and presents architectures and service frameworks to achieve highly integrated distributed systems and presents solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting topics such as multimedia, programming languages, and smart environments, this book is ideal for system administrators, integrators, designers, developers, researchers, and academicians.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Introduction to Reliable and Secure Distributed Programming

Автор: Christian Cachin; Rachid Guerraoui; Lu?s Rodrigues
Название: Introduction to Reliable and Secure Distributed Programming
ISBN: 3642423272 ISBN-13(EAN): 9783642423277
Издательство: Springer
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Цена: 7965.00 р.
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Описание: Failures may range from crashes to adversarial attacks by malicious processes.Cachin, Guerraoui, and Rodrigues present an introductory description of fundamental distributed programming abstractions together with algorithms to implement them in distributed systems, where processes are subject to crashes and malicious attacks.

Introduction to the Analysis of Algorithms

Автор: Soltys Michael
Название: Introduction to the Analysis of Algorithms
ISBN: 9814401153 ISBN-13(EAN): 9789814401159
Издательство: World Scientific Publishing
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Цена: 8554.00 р.
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Описание: Suitable for students and engineers alike, specifically software engineers who design reliable code, this title covers the traditional algorithms of Computer Science such as Greedy, Dynamic Programming and Divide & Conquer.

Introduction to Lattice Theory with Computer Science Applications

Автор: Garg
Название: Introduction to Lattice Theory with Computer Science Applications
ISBN: 1118914376 ISBN-13(EAN): 9781118914373
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: A computational perspective on partial order and lattice theory, focusing on algorithms and their applications This book provides a uniform treatment of the theory and applications of lattice theory.

An Introduction to Machine Learning

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

Introduction to multiagent systems

Автор: Wooldridge, Michael
Название: Introduction to multiagent systems
ISBN: 0470519460 ISBN-13(EAN): 9780470519462
Издательство: Wiley
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Цена: 9021.00 р.
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Описание: The eagerly anticipated updated resource on one of the most important areas of research and development: multi-agent systems Multi-agent systems allow many intelligent agents to interact with each other, and this field of study has advanced at a rapid pace since the publication of the first edition of this book, which was nearly a decade ago.


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