Explains fault tolerance in clear terms, with concrete examples drawn from real-world settings Highly practical focus aimed at building "mission-critical" networked applications that remain secure
This book offers an unified treatment of the problems solved by publish/subscribe, how to design and implement the solutions In this book, the author provides an insight into the publish/subscribe technology including the design, implementation, and evaluation of new systems based on the technology. The book also addresses the basic design patterns and solutions, and discusses their application in practical application scenarios. Furthermore, the author examines current standards and industry best practices as well as recent research proposals in the area. Finally, necessary content matching, filtering, and aggregation algorithms and data structures are extensively covered as well as the mechanisms needed for realizing distributed publish/subscribe across the Internet. Key Features: Addresses the basic design patterns and solutions Covers applications and example cases including; combining Publish/Subscribe with cloud, Twitter, Facebook, mobile push (app store), Service Oriented Architecture (SOA), Internet of Things and multiplayer games Examines current standards and industry best practices as well as recent research proposals in the area Covers content matching, filtering, and aggregation algorithms and data structures as well as the mechanisms needed for realizing distributed publish/subscribe across the Internet Publish/Subscribe Systems will be an invaluable guide for graduate/postgraduate students and specialists in the IT industry, distributed systems and enterprise computing, software engineers and programmers working in social computing and mobile computing, researchers. Undergraduate students will also find this book of interest.
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 second edition of Distributed Systems, Principles & Paradigms, covers the principles, advanced concepts, and technologies of distributed systems in detail, including: communication, replication, fault tolerance, and security. Intended for use in a senior/graduate level distributed systems course or by professionals, this text systematically shows how distributed systems are designed and implemented in real systems.
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.
Middleware is everywhere. Ever since the advent of sockets and other virtu- circuit abstractions, researchers have been looking for ways to incorporate high- value concepts into distributed systems platforms. Most distributed applications, especially Internet applications, are now programmed using such middleware platforms. Prior to 1998, there were several major conferences and workshops at which research into middleware was reported, including ICODP (International C- ference on Open Distributed Processing), ICDP (International Conference on Distributed Platforms) and SDNE (Services in Distributed and Networked - vironments). Middleware’98was a synthesis of these three conferences. Middleware 2000 continued the excellent tradition of Middleware’98. It p- vided a single venue for reporting state-of-the-art results in the provision of distributed systems platforms. The focus of Middleware 2000 was the design, implementation, deployment, and evaluation of distributed systems platforms and architectures for future networked environments. Among the 70 initial submissions to Middleware 2000, 21 papers were - lected for inclusion in the technical program of the conference. Every paper was reviewed by four members of the program committee. The papers were judged - cording to their originality, presentation quality, and relevance to the conference topics. The accepted papers cover various subjects such as caching, re?ection, quality of service, and transactions.
The National Science Foundation (NSF) is the leading sponsor of basic academic research in engineering, and its influence far exceeds its budget. We think NSF is at its best when it uses that influence to focus interest within the researcher community on critical new challenges and technologies. NSF's Scalable Enterprise Systems (SES) initiative, for which we were responsible in our successive terms in the division of Design, Manufacture and Industrial Innovation (DMII), was just such a venture. A collaborative effort spanning NSF's engineering and computer science directorates, SES sought to concentrate the energies of the academic engineering research community on developing a science base for designing, planning and controlling the extended, spatially and managerially distributed enterprises that have become the norm in the manufacture, distribution and sale of the products of U. S. industry. The of associated issues addressed included everything from management supply chains, to product design across teams of collaborating companies, to e-marketing and make-to-order manufacturing, to the information technology challenges of devising inter-operable planning and control tools that can scale with exploding enterprise size and scope. A total of 27 teams with nearly 100 investigators were selected from the 89 submitted proposals in the Phase I, exploratory part of the effort (see the list below). Seven of these were awarded larger multi-year grants to continue their research in Phase II. As the contents of this book amply illustrate, these investigations continue to flourish, with and without direct NSF support.
Grid computing denotes an approach to utilize distributed resources that are not subject to centralized control. This approach fulfils computing requirements arising within the context of current high-performance computing applications, especially in the field of computational science and engineering.This idea is analogous to an electric power network (grid), where power generators are distributed, but the users are able to access electric power without bothering about the source of energy and its location.Current grid enabling technologies consist of stand-alone architectures. A typical architecture provides middleware access to various services at different hierarchical levels. Computational grids enable the sharing, selection and aggregation of a wide variety of geographically distributed computational resources (such as supercomputers, clusters of computers, storage systems, data sources, instruments, people, etc.) and present them as a single, unified resource for solving large-scale computations and data intensive computing applications (e.g., molecular modeling for drug design, brain activity analysis, high energy physics, etc.).Grid computing is a new emerging research area aiming to promote the development and advancement of technologies that provide seamless and scalable access to wide-area distributed resources.
Introducing "Edge Computing 101: Novice to Pro" - your ultimate guide to mastering edge computing from beginner to expert level. This comprehensive book bundle includes four essential volumes packed with expert techniques and practical applications to propel your understanding and proficiency in edge computing. Book 1, "Edge Computing Fundamentals: A Beginner's Guide to Distributed Systems," provides a solid foundation for understanding the core principles of distributed systems. Whether you're new to the field or seeking to reinforce your knowledge, this book equips you with the fundamental concepts necessary to embark on your journey into the world of edge computing. In Book 2, "Edge Computing Architectures: Design Principles and Best Practices," you'll delve deeper into the intricacies of designing effective edge computing architectures. From deployment models to optimization techniques, this volume offers invaluable insights and best practices to help you build robust and scalable edge systems. For those looking to advance their skills, Book 3, "Advanced Edge Computing: Scalability, Security, and Optimization Strategies," explores advanced techniques and strategies for overcoming scalability challenges, enhancing security measures, and optimizing performance in edge environments. With real-world examples and case studies, you'll gain practical expertise to tackle complex issues and achieve optimal outcomes. Finally, Book 4, "Edge Computing in Industry 4.0: Practical Applications and Future Trends," focuses on the practical applications of edge computing across various industries, with a special emphasis on Industry 4.0. Discover how edge computing is transforming manufacturing, healthcare, smart cities, and more, and gain insights into future trends shaping the industry. Whether you're a novice looking to build a strong foundation or a seasoned professional aiming to stay ahead of the curve, "Edge Computing 101: Novice to Pro" has you covered. With its comprehensive coverage, expert guidance, and practical insights, this book bundle is your essential companion for mastering the dynamic world of edge computing. Get your copy today and take your edge computing skills to the next level!