Boek
Uses an algorithmic perspective to relate fundamental problems in distributed systems to applications Incorporates both underlying theory and applications in a single source that allows for a better understanding between the theoretical and practical communitiesExplores various failures and fault-tolerance models that are cornerstones of reliable system designCovers novel real-world topics such as sensor and peer-to-peer networks Includes numerous exercises to facilitate an appreciation of established as well as emerging concepts Most applications in distributed computing center around a set of common subproblems. Distributed Systems: An Algorithmic Approach presents the algorithmic issues and necessary background theory that are needed to properly understand these challenges.
Achieving a balance between theory and practice, this book bridges the gap between theoreticians and practitioners. With a set of exercises featured in each chapter, the book begins with background information that contains various interprocess communication techniques and middleware services, followed by foundational topics that cover system models, correctness criteria, and proof techniques. The book also presents numerous important paradigms in distributed systems, including logical clocks, distributed snapshots, deadlock detection, termination detection, election, and several graph algorithms. The author then addresses failures and fault-tolerance techniques in diverse applications, such as consensus, transactions, group communication, replicated data management, and self-stabilization. He concludes with an exploration of real-world issues, including distributed discrete-event simulation and security, sensor networks, and peer-to-peer networks.
By covering foundational matters of distributed systems and their relationships to real-world applications, Distributed Systems provides insight into common distributed computing subproblems. «
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