Mastering Distributed Algorithms
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Mastering Distributed Algorithms
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Author : Roger Wattenhofer
language : en
Publisher:
Release Date : 2020-03-23
Mastering Distributed Algorithms written by Roger Wattenhofer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with categories.
About the book: The Internet is a distributed system, but so are wireless communication, cloud or parallel computing, multi-core systems, mobile networks. Also an ant colony, a brain, or even the human society can be modeled as distributed systems. In this book we will be highlighting common themes and techniques. In particular, we study some of the fundamental issues underlying the design of distributed systems, for example, communication, coordination, fault-tolerance, locality, parallelism, symmetry breaking, synchronization, and uncertainty.About the author: Roger Wattenhofer is a professor at ETH Zurich. Before joining ETH Zurich, he was at Brown University and Microsoft Research. His research interests include fault-tolerant distributed systems, efficient network algorithms, and cryptocurrencies such as Bitcoin. He has published more than 300 scientific articles. In 2017, he published the book Blockchain Science.
Mastering Distributed Computing
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Distributed Computing written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Uncover the Art of Seamless Distributed Computing with "Mastering Distributed Computing" In the dynamic realm of modern computing, the ability to harness the power of distributed systems is paramount. "Mastering Distributed Computing" is your definitive guide to mastering the art of seamlessly orchestrating distributed resources for optimal performance and scalability. Whether you're an experienced software engineer or a newcomer to the world of distributed computing, this book equips you with the knowledge and skills needed to navigate the intricacies of distributed systems. About the Book: "Mastering Distributed Computing" takes you on an enlightening journey through the intricacies of distributed computing, from foundational concepts to advanced techniques. From distributed architectures to consensus algorithms, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of distributed systems, including scalability, fault tolerance, and data consistency. · Distributed Architectures: Explore a range of distributed architectures, including client-server, peer-to-peer, microservices, and serverless, understanding their strengths and applications. · Consistency and Replication: Dive into the complexities of data consistency and replication strategies, including eventual consistency, strong consistency, and distributed databases. · Distributed Algorithms: Master fundamental distributed algorithms, such as leader election, distributed locking, and distributed transactions, for coordinating actions across nodes. · Scaling Strategies: Discover strategies for scaling distributed systems horizontally and vertically, ensuring optimal performance as workloads grow. · Fault Tolerance: Understand mechanisms for building fault-tolerant systems, including redundancy, replication, and failure detection and recovery. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from finance and e-commerce to social media and beyond. · Cloud and Edge Computing: Explore the role of distributed computing in cloud environments and edge computing scenarios, and their impact on modern applications. · Security and Privacy: Explore best practices for securing distributed systems, data encryption, access control, and compliance. Who This Book Is For: "Mastering Distributed Computing" is designed for software engineers, architects, developers, and anyone passionate about effective distributed system design. Whether you're seeking to enhance your skills or embark on a journey toward becoming a distributed computing expert, this book provides the insights and tools to navigate the complexities of distributed systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Mastering Algorithms And Data Structures
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Algorithms And Data Structures written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash the Power of Efficient Problem-Solving In the realm of computer science and programming, algorithms and data structures are the building blocks of efficient problem-solving. "Mastering Algorithms and Data Structures" is your essential guide to understanding and harnessing the potential of these foundational concepts, empowering you to create optimized and elegant solutions. About the Book: As technology evolves and computational challenges grow more complex, a solid foundation in algorithms and data structures becomes crucial for programmers and engineers. "Mastering Algorithms and Data Structures" offers an in-depth exploration of these core concepts—an indispensable toolkit for professionals and enthusiasts alike. This book caters to both beginners and experienced programmers aiming to excel in algorithmic thinking, problem-solving, and code optimization. Key Features: Algorithmic Fundamentals: Begin by understanding the core principles of algorithms. Learn how algorithms drive the execution of tasks and solve computational problems. Data Structures: Dive into the world of data structures. Explore arrays, linked lists, stacks, queues, trees, and graphs—the fundamental building blocks of organizing and storing data. Algorithm Analysis: Grasp the art of analyzing algorithm complexity. Learn how to measure time and space efficiency to ensure optimal algorithm performance. Searching and Sorting Algorithms: Explore essential searching and sorting algorithms. Understand how to search for data efficiently and how to sort data for easier manipulation. Dynamic Programming: Understand the power of dynamic programming. Learn how to break down complex problems into smaller subproblems for efficient solving. Graph Algorithms: Delve into graph algorithms. Explore techniques for traversing graphs, finding shortest paths, and detecting cycles. String Algorithms: Grasp techniques for manipulating and analyzing strings. Learn how to search for patterns, match substrings, and perform string transformations. Real-World Applications: Gain insights into how algorithms and data structures are applied across industries. From software development to machine learning, discover the diverse applications of these concepts. Why This Book Matters: In a digital age driven by technological innovation, mastering algorithms and data structures is a competitive advantage. "Mastering Algorithms and Data Structures" empowers programmers, software engineers, and technology enthusiasts to leverage these foundational concepts, enabling them to create efficient, elegant, and optimized solutions that solve complex computational problems. Unlock the Potential of Problem-Solving: In the landscape of computer science, algorithms and data structures are the keys to efficient problem-solving. "Mastering Algorithms and Data Structures" equips you with the knowledge needed to leverage these foundational concepts, enabling you to design elegant and optimized solutions to a wide range of computational challenges. Whether you're an experienced programmer or new to the world of algorithms, this book will guide you in building a solid foundation for effective problem-solving and algorithmic thinking. Your journey to mastering algorithms and data structures starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Distributed Algorithms For Message Passing Systems
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Author : Michel Raynal
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Distributed Algorithms For Message Passing Systems written by Michel Raynal 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 2013-06-29 with Computers categories.
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.
Fault Tolerant Message Passing Distributed Systems
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Author : Michel Raynal
language : en
Publisher: Springer
Release Date : 2018-09-08
Fault Tolerant Message Passing Distributed Systems written by Michel Raynal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-08 with Computers categories.
This book presents the most important fault-tolerant distributed programming abstractions and their associated distributed algorithms, in particular in terms of reliable communication and agreement, which lie at the heart of nearly all distributed applications. These programming abstractions, distributed objects or services, allow software designers and programmers to cope with asynchrony and the most important types of failures such as process crashes, message losses, and malicious behaviors of computing entities, widely known under the term "Byzantine fault-tolerance". The author introduces these notions in an incremental manner, starting from a clear specification, followed by algorithms which are first described intuitively and then proved correct. The book also presents impossibility results in classic distributed computing models, along with strategies, mainly failure detectors and randomization, that allow us to enrich these models. In this sense, the book constitutes an introduction to the science of distributed computing, with applications in all domains of distributed systems, such as cloud computing and blockchains. Each chapter comes with exercises and bibliographic notes to help the reader approach, understand, and master the fascinating field of fault-tolerant distributed computing.
Mastering The Art Of Julia Programming Advanced Techniques For Expert Level Programming
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Author : Steve Jones
language : en
Publisher: Walzone Press
Release Date : 2025-02-16
Mastering The Art Of Julia Programming Advanced Techniques For Expert Level Programming written by Steve Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-16 with Computers categories.
"Mastering the Art of Julia Programming: Advanced Techniques for Expert-Level Programming" is the definitive guide for seasoned developers seeking to elevate their proficiency in Julia. This book goes beyond conventional programming instruction, diving deeply into the intricacies of the Julia language. Through meticulously crafted chapters, readers will explore complex topics such as the type system, metaprogramming, performance optimization, and effective error handling. Each section is designed to build upon the last, offering a logical progression that ensures comprehensive understanding and mastery of advanced Julia concepts. This book equips readers with the practical skills necessary to apply advanced techniques in real-world scenarios. With an emphasis on pragmatic, hands-on learning, it presents readers with detailed examples and case studies, demonstrating how to implement high-performance solutions in diverse computational contexts. Whether it's developing sophisticated machine learning models, constructing robust concurrent applications, or optimizing mathematical computations, this guide presents strategies and tools that enable programmers to maximize their efficiency and creativity. "Mastering the Art of Julia Programming" is not only an invaluable resource for individual programmers but also an asset for teams and organizations looking to foster a deeper understanding of Julia's capabilities. It prepares developers to contribute meaningfully to the Julia ecosystem by providing insights into effective package development and management. This book is an essential addition to the libraries of forward-thinking developers who aim to leverage Julia's potential to its fullest, ensuring they are at the cutting edge of programming technology.
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.
Stabilization Safety And Security Of Distributed Systems
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Author : Teruo Higashino
language : en
Publisher: Springer
Release Date : 2013-10-17
Stabilization Safety And Security Of Distributed Systems written by Teruo Higashino and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-17 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 15 International Symposium on Stabilization, Safety and Security of Distributed Systems, SSS 2013, held in Osaka, Japan, in November 2013. The 23 regular papers and 12 short papers presented were carefully reviewed and selected from 68 submissions. The Symposium is organized in several tracks, reflecting topics to self-* properties. The tracks are self-stabilization, fault tolerance and dependability; formal methods and distributed systems; ad-hoc, sensors, mobile agents and robot networks and P2P, social, self-organizing, autonomic and opportunistic networks.
Distributed Computing And Intelligent Technology
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Author : Quentin Bramas
language : en
Publisher: Springer Nature
Release Date : 2024-12-31
Distributed Computing And Intelligent Technology written by Quentin Bramas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Computers categories.
This volume LNCS constitutes the refereed proceedings of the 21st International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2025, in Bhubaneswar, in India, in January 2025. ICDCIT is organized into two tracks: Distributed Computing (DC) and Intelligent Technology (IT). The DC track solicits original research papers contributing to the foundations and applications of distributed computing. The DC track PC accepted 10 papers (7 regular papers and 3 short papers), and the IT track PC accepted 8 regular papers, The conference presents and discusses results and ideas on the foundations and applications of distributed computing and intelligent technology.
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.