Self-stabilization

Self-stabilization

Author: Shlomi Dolev

Publisher: MIT Press

Published: 2000

Total Pages: 212

ISBN-13: 9780262041782

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Shlomi Dolev presents the fundamentals of self-stabilization and demonstrates the process of designing self-stabilizing distributed systems.


Self-Stabilizing Systems

Self-Stabilizing Systems

Author: Shing-Tsaan Huang

Publisher: Springer

Published: 2007-03-05

Total Pages: 226

ISBN-13: 3540450327

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The refereed proceedings of the 6th International Symposium on Self-Stabilizing Systems, SSS 2003, held in San Francisco, CA, USA, in June 2003. The 15 revised full papers presented were carefully reviewed and selected from 27 submissions. The papers address self-stabilization issues for various types of systems and software including communication protocols, sensor networks, biological systems, and directed networks; several new algorithms are presented.


Self-Stabilizing Systems

Self-Stabilizing Systems

Author: Sukumar Ghosh

Publisher: Carleton University Press

Published: 1997

Total Pages: 228

ISBN-13: 9780886293338

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Self- governing control is a defining characteristic of autonomous computing machinery. Autonomy implies some degree of independence, and when a system's ability to achieve its mission is independent of how it is initialized, the system is self-stabilizing. Application of self-stabilization to system and network components is motivated by core concerns of fault-tolerance in distributed systems. Self-stabilization is a solution to problems of transient memory faults and systems with dynamic reconfigurations. Research in self-stabilization explores many of the classic themes of distributed computing (distributed graph algorithms, mutual exclusion, distributed agreement). Recent papers combine self-stabilization with traditional forms of fault-tolerance, consider methodological issues for the design of self-stabilizing systems, investigate randomized techniques, and apply stabilization to new networking models. The workshop brings together concerns from theory and practice of self-stabilization.


Self-Stabilizing Systems

Self-Stabilizing Systems

Author: Ted Herman

Publisher: Springer Science & Business Media

Published: 2005-10-27

Total Pages: 237

ISBN-13: 3540298142

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This book constitutes the refereed proceedings of the 7th International Symposium on Self-Stabilizing Systems, SSS 2005, held in Barcelona, Spain, in October 2005. The 15 revised full papers presented were carefully reviewed and selected from 33 submissions. The papers address classical topics of self-stabilization, prevailing extensions to the field, such as snap-stabilization, code stabilization, self-stabilization with either dynamic, faulty or Byzantine components, or deal with applications of self-stabilization, either related to operating systems, security, or mobile and ad hoc networks.


Self-Stabilizing Systems

Self-Stabilizing Systems

Author: Ajoy K. Datta

Publisher: Springer Science & Business Media

Published: 2001-09-19

Total Pages: 237

ISBN-13: 3540426531

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This book constitutes the refereed proceedings of the 5th International Workshop on Self-Stabilizing Systems, WSS 2001, held in Lisbon, Portugal, in October 2001. The 14 revised full papers presented together with one invited paper were carefully reviewed and selected from 27 submissions. Self-stabilizing software offers a unique, non-traditional approach to the problem of transient fault tolerance. The papers presented explore self-stabilization issues for various different manners of systems and software including communication protocols, cooperating mobile agents, routing in directed networks, crash-affected systems, security, and various other distributed systems and applications.


Self-Stabilizing Systems

Self-Stabilizing Systems

Author: Sukumar Ghosh

Publisher: McGill-Queen's Press - MQUP

Published: 1997-08-15

Total Pages: 225

ISBN-13: 0773591141

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Self- governing control is a defining characteristic of autonomous computing machinery. Autonomy implies some degree of independence, and when a system's ability to achieve its mission is independent of how it is initialized, the system is self-stabilizing. Application of self-stabilization to system and network components is motivated by core concerns of fault-tolerance in distributed systems. Self-stabilization is a solution to problems of transient memory faults and systems with dynamic reconfigurations. Research in self-stabilization explores many of the classic themes of distributed computing (distributed graph algorithms, mutual exclusion, distributed agreement). Recent papers combine self-stabilization with traditional forms of fault-tolerance, consider methodological issues for the design of self-stabilizing systems, investigate randomized techniques, and apply stabilization to new networking models. The workshop brings together concerns from theory and practice of self-stabilization.


Smart Computing and Self-Adaptive Systems

Smart Computing and Self-Adaptive Systems

Author: Simar Preet Singh

Publisher: CRC Press

Published: 2021-12-19

Total Pages: 289

ISBN-13: 100050994X

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The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.


Distributed Computing

Distributed Computing

Author: Maurice Herlihy

Publisher: Springer Science & Business Media

Published: 2000-09-20

Total Pages: 398

ISBN-13: 3540411437

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This book constitutes the refereed proceedings of the 14th International Conference on Distributed Computing, DISC 2000, held in Toledo, Spain in October 2000. The 23 revised full papers presented together with one invited contribution were carefully reviewed and selected from more than 100 submissions. The papers address a variety of current issues in distributed computing including mutual exclusion, distributed algorithms, protocols, approximation algorithms, distributed cooperation, electronic commerce, self-stabilizing algorithms, lower bounds, networking, broadcasting, Internet services, interconnection networks, distributed objects, CORBA, etc.


Distributed Algorithms

Distributed Algorithms

Author: Jan Leeuwen

Publisher: Berlin : Springer-Verlag

Published: 1991

Total Pages: 444

ISBN-13:

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"This volume contains the proceedings of the 4th International Workshop on Distributed Algorithms, held near Bari, Italy, September 24-26, 1990. The workshop was a forum for researchers, students and other interested persons to discuss recent results and trends in the design and analysis of distributed algorithms for communication networks and decentralized systems. The volume includes all 28 papers presented at the workshop, covering current research in such aspects of distributed algorithm design as distributed combinatorial algorithms, distributed algorithms on graphs, distributed algorithms for new types of decentralized systems, distributed data structures, synchronization and load-balancing, distributed algorithms for control and communication, design and verification of network protocols, routing algorithms, fail-safe and fault-tolerant distributed algorithms, distributed database techniques, algorithms for transaction management and replica control, and other related topics."--PUBLISHER'S WEBSITE.


Introduction to Distributed Algorithms

Introduction to Distributed Algorithms

Author: Gerard Tel

Publisher: Cambridge University Press

Published: 2000-09-28

Total Pages: 612

ISBN-13: 9780521794831

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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.