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040 _cNULRC
050 _aQA 76.9.D5 .V37 2013
100 _aVarela, Carlos A.
_eauthor
245 0 _aProgramming distributed computing systems :
_ba foundational approach /
_cCarlos A. Varela.
260 _aCambridge, Massachusetts :
_bThe MIT Press,
_cc2013
300 _axvi, 271 p. :
_billustrations ;
_c24 cm
365 _bUSD40.63
504 _aIncludes bibliographical references and index.
505 _a[Lambda] Calculus -- [pi] Calculus -- Actors -- Join Calculus -- Ambient Calculus -- Formalizing Concurrency, Distribution, and Mobility -- Programming with Processes -- Programming with Actors -- Programming with Join Patterns -- Social Networking Example.
520 _a"Starting from the premise that understanding the foundations of concurrent programming is key to developing distributed computing systems, this book first presents the fundamental theories of concurrent computing and then introduces the programming languages that help develop distributed computing systems at a high level of abstraction. The major theories of concurrent computation-including the ð-calculus, the actor model, the join calculus, and mobile ambients-are explained with a focus on how they help design and reason about distributed and mobile computing systems. The book then presents programming languages that follow the theoretical models already described, including Pict, SALSA, and JoCaml. The parallel structure of the chapters in both part one (theory) and part two (practice) enable the reader not only to compare the different theories but also to see clearly how a programming language supports a theoretical model. The book is unique in bridging the gap between the theory and the practice of programming distributed computing systems. It can be used as a textbook for graduate and advanced undergraduate students in computer science or as a reference for researchers in the area of programming technology for distributed computing. By presenting theory first, the book allows readers to focus on the essential components of concurrency, distribution, and mobility without getting bogged down in syntactic details of specific programming languages. Once the theory is understood, the practical part of implementing a system in an actual programming language becomes much easier."-- Unedited summary from book
650 _aELECTRONIC DATA PROCESSING -- DISTRIBUTED PROCESSING
942 _2lcc
_cBK
999 _c15980
_d15980