An Introduction To Distributed Algorithms

Author: Valmir C. Barbosa
Editor: MIT Press
ISBN: 9780262024129
Size: 12,95 MB
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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 workstations, and multiprocessors. Written from the broad perspective of distributed-memory systems in general it includes topics such as algorithms for maximum flow, program debugging, and simulation that do not appear in more orthodox texts on distributed algorithms. Moving from fundamentals to advances and applications, ten chapters—with exercises and bibliographic notes—cover a variety of topics. These include models of distributed computation, information propagation, leader election, distributed snapshots, network synchronization, self- stability, termination detection, deadlock detection, graph algorithms, mutual exclusion, program debugging, and simulation. All of the algorithms are presented in a clear, template- based format for the description of message-passing computations among the nodes of a connected graph. Such a generic setting allows the treatment of problems originating from many different application areas. The main ideas and algorithms are described in a way that balances intuition and formal rigor—most are preceded by a general intuitive discussion and followed by formal statements as to correctness complexity or other properties.

Distributed Algorithms For Message Passing Systems

Author: Michel Raynal
Editor: Springer Science & Business Media
ISBN: 3642381235
Size: 18,28 MB
Format: PDF
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Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities -- such as processes, peers, processors, nodes, or agents -- that individually have only a partial knowledge of the many input parameters associated with the problem. In particular each entity cooperating towards the common goal cannot have an instantaneous knowledge of the current state of the other entities. Whereas parallel computing is mainly concerned with 'efficiency', and real-time computing is mainly concerned with 'on-time computing', distributed computing is mainly concerned with 'mastering uncertainty' created by issues such as the multiplicity of control flows, asynchronous communication, unstable behaviors, mobility, and dynamicity. While some distributed algorithms consist of a few lines only, their behavior can be difficult to understand and their properties hard to state and prove. The aim of this book is to present in a comprehensive way the basic notions, concepts, and algorithms of distributed computing when the distributed entities cooperate by sending and receiving messages on top of an asynchronous network. The book is composed of seventeen chapters structured into six parts: distributed graph algorithms, in particular what makes them different from sequential or parallel algorithms; logical time and global states, the core of the book; mutual exclusion and resource allocation; high-level communication abstractions; distributed detection of properties; and distributed shared memory. The author establishes clear objectives per chapter and the content is supported throughout with illustrative examples, summaries, exercises, and annotated bibliographies. This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students in computer science and computer engineering, graduate students in mathematics interested in distributed computing, and practitioners and engineers involved in the design and implementation of distributed applications. The reader should have a basic knowledge of algorithms and operating systems.

Distributed Algorithms

Author: Gerard Tel
Editor: Springer Science & Business Media
ISBN: 9783540584490
Size: 16,95 MB
Format: PDF, Docs
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This volume presents the proceedings of the 8th International Workshop on Distributed Algorithms (WDAG '94), held on the island of Terschelling, The Netherlands in September 1994. Besides the 23 research papers carefully selected by the program committee, the book contains 3 invited papers. The volume covers all relevant aspects of distributed algorithms; the topics discussed include network protocols, distributed control and communication, real-time systems, dynamic algorithms, self-stabilizing algorithms, synchronization, graph algorithms, wait-free algorithms, mechanisms for security, replicating data, and distributed databases.

Distributed Algorithms Second Edition

Author: Wan Fokkink
Editor: MIT Press
ISBN: 0262345528
Size: 20,48 MB
Format: PDF, ePub, Docs
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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.

Distributed Algorithms

Author: Jan van Leeuwen
Editor: Springer Science & Business Media
ISBN: 9783540193661
Size: 17,32 MB
Format: PDF, Kindle
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This volume presents the proceedings of the 2nd International Workshop on Distributed Algorithms, held July 8-10, 1987, in Amsterdam, The Netherlands. It contains 29 papers on new developments in the area of the design and analysis of distributed algorithms. The topics covered include, e.g. algorithms for distributed consensus and agreement in networks, connection management and topology update schemes, election and termination detection protocols, and other issues in distributed network control.

Distributed Algorithms

Author: Jean-Claude Bermond
Editor: Springer Science & Business Media
ISBN: 9783540516873
Size: 18,27 MB
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This book includes the papers presented at the Third International Workshop on Distributed Algorithms organized at La Colle-sur-Loup, near Nice, France, September 26-28, 1989 which followed the first two successful international workshops in Ottawa (1985) and Amsterdam (1987). This workshop provided a forum for researchers and others interested in distributed algorithms on communication networks, graphs, and decentralized systems. The aim was to present recent research results, explore directions for future research, and identify common fundamental techniques that serve as building blocks in many distributed algorithms. Papers describe original results in all areas of distributed algorithms and their applications, including: distributed combinatorial algorithms, distributed graph algorithms, distributed algorithms for control and communication, distributed database techniques, distributed algorithms for decentralized systems, fail-safe and fault-tolerant distributed algorithms, distributed optimization algorithms, routing algorithms, design of network protocols, algorithms for transaction management, composition of distributed algorithms, and analysis of distributed algorithms.

Distributed Algorithms

Author: Özalp Babaoglu
Editor: Springer Science & Business Media
ISBN: 9783540617693
Size: 14,25 MB
Format: PDF, ePub, Docs
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Microsystem technology (MST) integrates very small (up to a few nanometers) mechanical, electronic, optical, and other components on a substrate to construct functional devices. These devices are used as intelligent sensors, actuators, and controllers for medical, automotive, household and many other purposes. This book is a basic introduction to MST for students, engineers, and scientists. It is the first of its kind to cover MST in its entirety. It gives a comprehensive treatment of all important parts of MST such as microfabrication technologies, microactuators, microsensors, development and testing of microsystems, and information processing in microsystems. It surveys products built to date and experimental products and gives a comprehensive view of all developments leading to MST devices and robots.

Topics In Distributed Algorithms

Author: Gerard Tel
Editor: CUP Archive
ISBN: 9780521403764
Size: 15,31 MB
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This book presents a collection of recent computer algorithms & protocols used in distributed computing & distributed system implementation. Distributed computing involves the sharing of processing power, usually between a mainframe computer & several smaller outpost computers. Each algorithm is explained intuitively, proved correct, & analyzed thoroughly in order to establish what are its essential features. The algorithms cover a wide range of problems in distributed computing & include the following: a class of synchronizers to simulate lock-step operation on an asynchronous processor network; a communication protocol that tolerates & corrects message loss, duplication & resequencing; termination detection algorithms to signify when a distributed computation has finished; algorithms for election, mutual exclusion & distributed garbage collection.

Introduction To Distributed Algorithms

Author: Gerard Tel
Editor: Cambridge University Press
ISBN: 9780521794831
Size: 13,98 MB
Format: PDF, ePub, Mobi
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Introduction : distributed systems - The model - Communication protocols - Routing algorithms - Deadlock-free packet switching - Wave and traversal algorithms - Election algorithms - Termination detection - Anonymous networks - Snapshots - Sense of direction and orientation - Synchrony in networks - Fault tolerance in distributed systems - Fault tolerance in asynchronous systems - Fault tolerance in synchronous systems - Failure detection - Stabilization.

Distributed Algorithms

Author: International Workshop on Distributed Algorithms (4, 1990, Bari)
Editor: Springer Science & Business Media
ISBN: 9783540540991
Size: 18,64 MB
Format: PDF
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Proceedings of the 4th of a series of workshops on distributed algorithms. The workshop was a forum for researchers and others to discuss recent results and trends in the design and analysis of distributed algorithms for communication networks and decentralized systems.