This pivotal book provides a highly accessible, balanced treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language of the Second Edition is kept as unobscured as possible-clarity is given priority over mathematical formalism. Containing significant updates that mirror the phenomenal growth of distributed systems, this easily digestible text includes fresh exercises, examples, and case studies and explores new topics related to peer-to-peer and social networks. A solutions manual is available with qualifying course adoption.
This pivotal book provides a highly accessible, balanced treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language of the Second Edition is kept as unobscured as possible-clarity is given priority over mathematical formalism. Containing significant updates that mirror the phenomenal growth of distributed systems, this easily digestible text includes fresh exercises, examples, and case studies and explores new topics related to peer-to-peer and social networks. A solutions manual is available with qualifying course adoption.
Sukumar Ghosh has been a professor in the Department of Computer Science at the University of Iowa, Iowa City, USA since 1995. He earned his Ph.D in computer science and engineering from Calcutta University, India in 1971, and completed his postdoctoral research at the University of Dortmund, Germany as an Alexander von Humboldt Foundation fellow. His current research interests are in distributed systems, with a special emphasis on dynamic distributed systems; fault-tolerant, self-stabilizing, and autonomic distributed systems; and peer-to-peer networks. He has published over 100 research papers and 5 book chapters on these topics, and has supervised 16 Ph.D students.
Inhaltsangabe
Section I: Background Materials. Introduction. Interprocess Communication: An Overview. Section II: Foundational Topics. Models for Communication. Representing Distributed Algorithms: Syntax and Semantics. Program Correctness. Time in a Distributed System. Section III: Important Paradigms. Mutual Exclusion. Distributed Snapshot. Global State Collection. Graph Algorithms. Coordination Algorithms. Section IV: Faults and Fault-Tolerant Systems. Fault-Tolerant Systems. Distributed Consensus. Distributed Transactions. Group Communication. Replicated Data Management. Self-Stabilizing Systems. Section V: Real-World Issues. Distributed Discrete-Event Simulation. Security in Distributed Systems. Sensor Networks. Social and Peer-to-Peer Networks.
Section I: Background Materials. Introduction. Interprocess Communication: An Overview. Section II: Foundational Topics. Models for Communication. Representing Distributed Algorithms: Syntax and Semantics. Program Correctness. Time in a Distributed System. Section III: Important Paradigms. Mutual Exclusion. Distributed Snapshot. Global State Collection. Graph Algorithms. Coordination Algorithms. Section IV: Faults and Fault-Tolerant Systems. Fault-Tolerant Systems. Distributed Consensus. Distributed Transactions. Group Communication. Replicated Data Management. Self-Stabilizing Systems. Section V: Real-World Issues. Distributed Discrete-Event Simulation. Security in Distributed Systems. Sensor Networks. Social and Peer-to-Peer Networks.
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