Distributed Systems: Principles and ParadigmsFor courses on Distributed Systems, Distributed Operating Systems, and Advanced Operating Systems focusing on distributed systems found in departments of Computer Science, Computer Engineering and Electrical Engineering. Distributed systems are common. Computer scientists and engineers need to understand how the principles and paradigms underlying distributed systems software and be familiar with several real world examples. No other book systematically examines the underlying principles and how they are applied to a wide variety of distributed systems with the depth and clarity of this presentation. *First part of the book dedicates one chapter to each of seven key principles of all distributed systems -Communication, processes, naming, synchronization, consistency and replication, fault tolerance, and security, provides students with an understanding of the key principles, paradigms, and models on which all distributed systems are based. *Second part of the book devoted to real-world distributed case studies - Includes examples of object-based, document-based, file-based, and coordination-based systems including Corba, DCOM, Globe, NFS v4, Coda, WWW, and Jini. *Numerous end-of-ch |
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Distributed Systems: Principles and Paradigms Andrew S. Tanenbaum,Maarten van Steen No preview available - 2002 |
Common terms and phrases
access control agent algorithm Alice Alice and Bob application approach authentication block cache called certificate Cited client and server client-server communication concurrent consistency models contains coordinator copy CORBA crashes data item data store database DCOM distributed file systems distributed shared memory distributed systems document domain encrypted entity event example executed fault tolerance Figure file system global handle host identifier implementation interface invocation request invoke Java JavaSpace Jini layer lock lookup machine means method middleware multicasting name server name space node object reference object server operating system performance pointer problem protocol proxy public key receiver replication requires scalability secret key secure channel sender sends sequential consistency shared shown in Fig simple specific stub subobject synchronization thread TIB/Rendezvous timestamp tion transaction tuple updates write operation