Introduction To Distributed Algorithms
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An Introduction To Distributed Algorithms
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Author : Valmir C. Barbosa
language : en
Publisher: MIT Press
Release Date : 1996
An Introduction To Distributed Algorithms written by Valmir C. Barbosa and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-memory systems such as computer networks, networks of work-stations, and multiprocessors. Written from the broad perspective of distributed-memory systems in general it includes topics such as algorithms for maximum flow, programme debugging, and simulation that do not appear in more orthodox texts on distributed algorithms.
Introduction To Distributed Algorithms
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Author : Gerard Tel
language : en
Publisher: Cambridge University Press
Release Date : 2000-09-28
Introduction To Distributed Algorithms written by Gerard Tel and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-09-28 with Computers categories.
Distributed algorithms have been the subject of intense development over the last twenty years. The second edition of this successful textbook provides an up-to-date introduction both to the topic, and to the theory behind the algorithms. The clear presentation makes the book suitable for advanced undergraduate or graduate courses, whilst the coverage is sufficiently deep to make it useful for practising engineers and researchers. The author concentrates on algorithms for the point-to-point message passing model, and includes algorithms for the implementation of computer communication networks. Other key areas discussed are algorithms for the control of distributed applications (wave, broadcast, election, termination detection, randomized algorithms for anonymous networks, snapshots, deadlock detection, synchronous systems), and fault-tolerance achievable by distributed algorithms. The two new chapters on sense of direction and failure detectors are state-of-the-art and will provide an entry to research in these still-developing topics.
Introduction To Distributed Algorithms
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Author : Valmir C. Barbosa
language : en
Publisher:
Release Date : 2003
Introduction To Distributed Algorithms written by Valmir C. Barbosa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Introduction To Distributed Self Stabilizing Algorithms
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Author : Karine Altisen
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Introduction To Distributed Self Stabilizing Algorithms written by Karine Altisen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
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 an 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.
Distributed Algorithms
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Author : Wan Fokkink
language : en
Publisher: MIT Press
Release Date : 2013-12-06
Distributed Algorithms written by Wan Fokkink and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-06 with Computers categories.
A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.
Introduction To Reliable And Secure Distributed Programming
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Author : Christian Cachin
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-02-11
Introduction To Reliable And Secure Distributed Programming written by Christian Cachin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-11 with Computers categories.
In modern computing a program is usually distributed among several processes. The fundamental challenge when developing reliable and secure distributed programs is to support the cooperation of processes required to execute a common task, even when some of these processes fail. 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. The authors follow an incremental approach by first introducing basic abstractions in simple distributed environments, before moving to more sophisticated abstractions and more challenging environments. Each core chapter is devoted to one topic, covering reliable broadcast, shared memory, consensus, and extensions of consensus. For every topic, many exercises and their solutions enhance the understanding This book represents the second edition of "Introduction to Reliable Distributed Programming". Its scope has been extended to include security against malicious actions by non-cooperating processes. This important domain has become widely known under the name "Byzantine fault-tolerance".
Distributed Algorithms
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Author : Fourré Sigs
language : en
Publisher: Independently Published
Release Date : 2019-01-31
Distributed Algorithms written by Fourré Sigs and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with categories.
AN ELABORATE YET BEGINNER-FRIENDLY GUIDE TO DISTRIBUTED ALGORITHMS Distributed Algorithms, a non-trivial and highly evolving field of active research, is often presented in most publications using a heavy accompaniment of mathematical techniques and notations. Aimed squarely at beginners as well as experienced practitioners, this book attempts to demystify and explicate the subject of distributed algorithms using a highly expansive and verbose style of treatment. Covering scores of landmark algorithms in the field of distributed computing, the approach is to present and analyse each topic using a minimum of mathematical exposition, reverting instead to a fluid style of description in plain English. A mathematical presentation is avoided altogether whenever such a move does not reduce the quality of the analysis at hand. Elsewhere, the effort always is to talk and guide the reader through the relevant math without resorting to a series of equations. To backup such a style of treatment, each topic is accompanied by a multitude of examples, flowcharts, and diagrams. The book is divided into three parts; the first part deals with fundamentals, the second and largest of the three is all about algorithms specific to message passing networks, while the last one focuses on shared memory algorithms. The beginning of the book dedicates a few chapters to the basics - including a quick orientation on the underlying platform, i.e. distributed systems, their characteristics, advantages, challenges, and so on. Some of the earlier chapters also address basic algorithms and techniques relevant to distributed computing environments before moving on to progressively complex algorithms and results - en route to the later chapters in the second part which deal with widely used 'industrial-strength' protocols such as Paxos and Raft. The third part of the book does assume a basic orientation towards computer programming, and presents numerous shared memory algorithms where each one is accompanied by a detailed description, analysis, pseudo code, and in some cases, code (C or C++). Whenever actual code is used, the syntax is kept as basic as possible - incorporating only elementary features of the language - so that newbie programmers can follow the presentation smoothly. Lastly, the target audience of the book is wide enough to cover beginners such as students or graduates joining the industry, experienced professionals wishing to migrate from monolithic frameworks to distributed ones, as well as readers with years of experience on the subject of distributed computing. The style of presentation is selected with the first two classes of readers in mind: those who wish to quickly ramp up on the subject of distributed algorithms for professional reasons or personal ones. While staying true to the stated aim, the book does not shy away from dealing with complex topics. A concise list of content information follows: Introduction to distributed systems Properties of distributed data stores and Brewer's theorem Building blocks: unicast, broadcast, algorithms in cubes Leader election algorithms: for ring/generic networks Consensus algorithms: synchronous/asynchronous variants for message passing and shared memory systems Distributed commits, Paxos, Raft Graph algorithms Routing algorithms Time and order Mutual exclusion: for message passing networks Debug algorithms: snapshot, deadlock/termination detection Shared memory: practical problems, mutual exclusion, consensus, resource allocation About the author Fourré Sigs is an industry veteran with over 25 years of experience in systems programming, networking, and highly scalable and secure distributed service architectures.
Introduction To Reliable Distributed Programming
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Author : Rachid Guerraoui
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-01
Introduction To Reliable Distributed Programming written by Rachid Guerraoui and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-01 with Computers categories.
In modern computing a program is usually distributed among several processes. The fundamental challenge when developing reliable distributed programs is to support the cooperation of processes required to execute a common task, even when some of these processes fail. Guerraoui and Rodrigues present an introductory description of fundamental reliable distributed programming abstractions as well as algorithms to implement these abstractions. The authors follow an incremental approach by first introducing basic abstractions in simple distributed environments, before moving to more sophisticated abstractions and more challenging environments. Each core chapter is devoted to one specific class of abstractions, covering reliable delivery, shared memory, consensus and various forms of agreement. This textbook comes with a companion set of running examples implemented in Java. These can be used by students to get a better understanding of how reliable distributed programming abstractions can be implemented and used in practice. Combined, the chapters deliver a full course on reliable distributed programming. The book can also be used as a complete reference on the basic elements required to build reliable distributed applications.
Distributed Algorithms
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Author : Wan Fokkink
language : en
Publisher: MIT Press
Release Date : 2013-12-06
Distributed Algorithms written by Wan Fokkink and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-06 with Computers categories.
A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation. 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. An appendix offers pseudocode descriptions of many algorithms. Distributed algorithms are performed by a collection of computers that send messages to each other or by multiple software threads that use the same shared memory. 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. 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.
Topics In Distributed Algorithms
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Author : Gerard Tel
language : en
Publisher: CUP Archive
Release Date : 1991-07-11
Topics In Distributed Algorithms written by Gerard Tel and has been published by CUP Archive this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-07-11 with Computers categories.