Download or read book Design and Analysis of Distributed Algorithms written by Nicola Santoro and published by John Wiley & Sons. This book was released on 2006-11-03 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is based on a simple and fully reactive computational model that allows for intuitive comprehension and logical designs. The principles and techniques presented can be applied to any distributed computing environment (e.g., distributed systems, communication networks, data networks, grid networks, internet, etc.). The text provides a wealth of unique material for learning how to design algorithms and protocols perform tasks efficiently in a distributed computing environment.
Download or read book Introduction to Distributed Algorithms written by Gerard Tel and published by Cambridge University Press. This book was released on 2000-09-28 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Distributed Algorithms written by Wan Fokkink and published by MIT Press. This book was released on 2013-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Distributed Algorithms written by Wan Fokkink and published by MIT Press. This book was released on 2013-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.
Download or read book Designing Reliable Distributed Systems written by Peter Csaba Ölveczky and published by Springer. This book was released on 2018-02-12 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classroom-tested textbook provides an accessible introduction to the design, formal modeling, and analysis of distributed computer systems. The book uses Maude, a rewriting logic-based language and simulation and model checking tool, which offers a simple and intuitive modeling formalism that is suitable for modeling distributed systems in an attractive object-oriented and functional programming style. Topics and features: introduces classical algebraic specification and term rewriting theory, including reasoning about termination, confluence, and equational properties; covers object-oriented modeling of distributed systems using rewriting logic, as well as temporal logic to specify requirements that a system should satisfy; provides a range of examples and case studies from different domains, to help the reader to develop an intuitive understanding of distributed systems and their design challenges; examples include classic distributed systems such as transport protocols, cryptographic protocols, and distributed transactions, leader election, and mutual execution algorithms; contains a wealth of exercises, including larger exercises suitable for course projects, and supplies executable code and supplementary material at an associated website. This self-contained textbook is designed to support undergraduate courses on formal methods and distributed systems, and will prove invaluable to any student seeking a reader-friendly introduction to formal specification, logics and inference systems, and automated model checking techniques.
Download or read book Design and Analysis of Distributed Algorithms with Applications to Networked Traffic Systems written by Evan Gravelle and published by . This book was released on 2017 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many benefits of solving problems in a decentralized manner. Distributed algorithms often do not require global information which can alleviate the curse of dimensionality in large networks, there is often robustness to failure of parts, and they are often more robust to failure of parts, and to dynamic changes to the environment that can occur while maintaining performance. This dissertation will focus on three problems involving networked systems in which distributed algorithms have significant benefits: constrained load balancing, traffic congestion minimization, and traffic intersection efficiency. Many physical limitations of real systems are not considered in the literature of distributed load balancing algorithms. We address the specific problem of quantized distributed load balancing over a network of agents subject to upper-limit constraints. We then shift focus to traffic systems, where endowing traffic control systems with local information and communication can be exploited for further efficiency. Motivated by a desire to reduce congestion, we propose two distributed algorithms to reduce delays: a dynamic lane reversal algorithm and a rerouting algorithm. Finally, we present a novel intersection control algorithm based on an objective function that accounts for drivers' time preferences. For each problem, a specific objective is formed mathematically. An algorithm is designed to achieve this objective, and stability and convergence of the algorithms are analyzed. Experiments are run through simulation to verify stability and convergence as well as to test performance.
Download or read book Distributed Algorithms written by Nicola Santoro and published by Springer Science & Business Media. This book was released on 1991-06-19 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Distributed Algorithms for Message Passing Systems written by Michel Raynal and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book An Introduction to Distributed Algorithms written by Valmir C. Barbosa and published by MIT Press. This book was released on 1996 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Design and Analysis of Algorithms written by Sandeep Sen and published by Cambridge University Press. This book was released on 2019-05-23 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on the interplay between algorithm design and the underlying computational models.
Download or read book Distributed Computing written by David Peleg and published by SIAM. This book was released on 2000-01-01 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gives a thorough exposition of network spanners and other locality-preserving network representations such as sparse covers and partitions.
Download or read book Network Distributed Algorithms for Structural Analysis and Design Optimization written by Sanjay Kumar and published by . This book was released on 1994 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Distributed Systems written by Sacha Krakowiak and published by Springer. This book was released on 2003-06-26 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1992 we initiated a research project on large scale distributed computing systems (LSDCS). It was a collaborative project involving research institutes and universities in Bologna, Grenoble, Lausanne, Lisbon, Rennes, Rocquencourt, Newcastle, and Twente. The World Wide Web had recently been developed at CERN, but its use was not yet as common place as it is today and graphical browsers had yet to be developed. It was clear to us (and to just about everyone else) that LSDCS comprising several thousands to millions of individual computer systems (nodes) would be coming into existence as a consequence both of technological advances and the demands placed by applications. We were excited about the problems of building large distributed systems, and felt that serious rethinking of many of the existing computational paradigms, algorithms, and structuring principles for distributed computing was called for. In our research proposal, we summarized the problem domain as follows: “We expect LSDCS to exhibit great diversity of node and communications capability. Nodes will range from (mobile) laptop computers, workstations to supercomputers. Whereas mobile computers may well have unreliable, low bandwidth communications to the rest of the system, other parts of the system may well possess high bandwidth communications capability. To appreciate the problems posed by the sheer scale of a system comprising thousands of nodes, we observe that such systems will be rarely functioning in their entirety.
Download or read book Distributed Systems written by Sunil Kumar and published by Alpha Science International, Limited. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on the design principles of distributed computing and communication networks. Topics covered include: Design Issues and Challenges; Models and Protocols in Communication Networks; Mobile Computing and Autonomous Systems; Design and Analysis of Distributed Algorithms; Distributed Databases; and Distributed Deadlock Detection.
Download or read book Introduction To Design And Analysis Of Algorithms 2 E written by Anany Levitin and published by Pearson Education India. This book was released on 2008-09 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Elements of Distributed Algorithms written by Wolfgang Reisig and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Computing is rapidly becoming the principal computing paradigm in diverse areas of computing, communication, and control. Processor clusters, local and wide area networks, and the information highway evolved a new kind of problems which can be solved with distributed algorithms. In this textbook a variety of distributed algorithms are presented independently of particular programming languages or hardware, using the graphically suggestive technique of Petri nets which is both easy to comprehend intuitively and formally rigorous. By means of temporal logic the author provides surprisingly simple yet powerful correctness proofs for the algorithms. The scope of the book ranges from distributed control and synchronization of two sites up to algorithms on any kind of networks. Numerous examples show that description and analysis of distributed algorithms in this framework are intuitive and technically transparent.
Download or read book Analysis and Design of Distributed Optimization Algorithms written by Akhil Sundararajan and published by . This book was released on 2021 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work concerns the analysis and design of distributed first-order optimization algorithms. The goal of such algorithms is to optimize a global function that is the average of local functions using only local computations and communications. Many recent algorithms have been proposed that achieve linear convergence to the global optimum. We provide a unified analysis that yields the worst-case linear convergence rate as a function of the properties of the functions and underlying network, as well as the parameters of the algorithm. The framework requires solving a small semidefinite program whose feasibility is a sufficient condition for certifying linear convergence of a distributed algorithm. We present results for both known, fixed graphs and unknown, time-varying graphs. The analysis framework is a computationally efficient method for distributed algorithm analysis that enables the rapid comparison, selection, and tuning of algorithms. This work also makes an effort to systematize distributed algorithm design by devising a canonical form for first-order distributed algorithms. The canonical form characterizes any distributed algorithm that can be implemented using a single round of communication and gradient computation per iteration, and where each agent stores up to two state variables. The canonical form features a minimal set of parameters that are both unique and expressive enough to capture any distributed algorithm in this class. Using this canonical form, we propose a new algorithm, which we call SVL, that is easily implementable and achieves a faster worst-case convergence rate than all other known algorithms.
