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Learning to build distributed systems is hard, especially if they are large scale. It's not that there is a lack of information out there. You can find academic papers, engineering blogs, and even books on the subject. The problem is that the available information is spread out all over the place, and if you were to put it on a spectrum from theory to practice, you would find a lot of material at the two ends but not much in the middle. That is why I decided to write a book that brings together the core theoretical and practical concepts of distributed systems so that you don't have to spend hours connecting the dots. This book will guide you through the fundamentals of large-scale distributed systems, with just enough details and external references to dive deeper. This is the guide I wished existed when I first started out, based on my experience building large distributed systems that scale to millions of requests per second and billions of devices. If you are a developer working on the backend of web or mobile applications (or would like to be!), this book is for you. When building distributed applications, you need to be familiar with the network stack, data consistency models, scalability and reliability patterns, observability best practices, and much more. Although you can build applications without knowing much of that, you will end up spending hours debugging and re-architecting them, learning hard lessons that you could have acquired in a much faster and less painful way. However, if you have several years of experience designing and building highly available and fault-tolerant applications that scale to millions of users, this book might not be for you. As an expert, you are likely looking for depth rather than breadth, and this book focuses more on the latter since it would be impossible to cover the field otherwise. The second edition is a complete rewrite of the previous edition. Every page of the first edition has been reviewed and where appropriate reworked, with new topics covered for the first time.
Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible—clarity is given priority over mathematical formalism. This easily digestible text: Features significant updates that mirror the phenomenal growth of distributed systems Explores new topics related to peer-to-peer and social networks Includes fresh exercises, examples, and case studies Supplying a solid understanding of the key principles of distributed computing and their relationship to real-world applications, Distributed Systems: An Algorithmic Approach, Second Edition makes both an ideal textbook and a handy professional reference.
This book gives answers to the question how distributed information systems can serve management, especially lean management. The authors develop new theoretical insights for the future of decentralized firms and offer concepts for creating and maintaining distributed information systems. The book contains interesting prototypes in logistics and financial industries and shows designs and applications of workflow systems. It offers a state-of-the-art survey of the subject.
The notion of a distributed information system has surfaced as a technical concern ameliorated by noteworthy successes in communication networks and minicomputer technology. While the implementation of a distributed system may be regarded as a technical problem, the organizational impact may be substantial, affecting day-to-day operations as well as managerial philosophy. This book addresses basic concepts and an introduction to the topic, followed by technical aspects, communications, and dispersion, and finishes with managerial aspects and data security. This book is intended for students of business, management, data processing, computer science and engineering, and for professionals in the same areas.
Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. Applying Integration Techniques and Methods in Distributed Systems is a critical scholarly publication that defines the current state of distributed systems, determines further goals, and presents architectures and service frameworks to achieve highly integrated distributed systems and presents solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting topics such as multimedia, programming languages, and smart environments, this book is ideal for system administrators, integrators, designers, developers, researchers, and academicians.
Information is a central topic in computer science, cognitive science and philosophy. In spite of its importance in the 'information age', there is no consensus on what information is, what makes it possible, and what it means for one medium to carry information about another. Drawing on ideas from mathematics, computer science and philosophy, this book addresses the definition and place of information in society. The authors, observing that information flow is possible only within a connected distribution system, provide a mathematically rigorous, philosophically sound foundation for a science of information. They illustrate their theory by applying it to a wide range of phenomena, from file transfer to DNA, from quantum mechanics to speech act theory.
This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introduction to cloud computing, looking at the overall architecture of the cloud, client systems, the modern Internet and cloud computing data centers. It then delves into the core challenges of showing how reliability and fault-tolerance can be abstracted, how the resulting questions can be solved, and how the solutions can be leveraged to create a wide range of practical cloud applications. The author’s style is practical, and the guide should be readily understandable without any special background. Concrete examples are often drawn from real-world settings to illustrate key insights. Appendices show how the most important reliability models can be formalized, describe the API of the Isis2 platform, and offer more than 80 problems at varying levels of difficulty.
"This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.
This second open access volume of the handbook series deals with detectors, large experimental facilities and data handling, both for accelerator and non-accelerator based experiments. It also covers applications in medicine and life sciences. A joint CERN-Springer initiative, the "Particle Physics Reference Library" provides revised and updated contributions based on previously published material in the well-known Landolt-Boernstein series on particle physics, accelerators and detectors (volumes 21A, B1,B2,C), which took stock of the field approximately one decade ago. Central to this new initiative is publication under full open access
Doreen Galli uses her considerable academic and professional experience to bring together the worlds of theory and practice providing leading edge solutions to tomorrow's challenges. "Distributed Operating Systems: Concepts and Practice" offers a good balance of real world examples and the underlying theory of distributed computing. The flexible design makes it usable for students, practitioners and corporate training. This book describes in detail each major aspect of distributed operating systems from a conceptual and practical viewpoint. The operating systems of Amoeba, Clouds, and Chorus(TM) (the base technology for JavaOS(TM)) are utilized as examples throughout the text; while the technologies of Windows 2000(TM), CORBA(TM), DCOM(TM), NFS, LDAP, X.500, Kerberos, RSA(TM), DES, SSH, and NTP demonstrate real life solutions. A simple client/server application is included in the appendix to demonstrate key distributed computing programming concepts. This book proves invaluable as a course text or as a reference book for those who wish to update and enhance their knowledge base. A Companion Website provides supplemental information. A broad range of distributed computing issues and concepts: Kernels, IPC, memory management, object-based operating systems, distributed file systems (with NFS and X.500), transaction management, process management, distributed synchronization, and distributed security A major case study of Windows 2000 to demonstrate a real life commercial solution Detail Boxes contain in-depth examples such as complex algorithms Project-oriented exercises providing hands-on-experience Relevant sources including 'core' Web and ftp sites, as well as research papers Easy reference with complete list of acronyms and glossary to aid readability