Distributed Systems for Fun and Profit
by Mikito Takada
Publisher: mixu.net 2013
This text provides a more accessible introduction to distributed systems. The book brings together the ideas behind many of the more recent distributed systems - systems such as Amazon's Dynamo, Google's BigTable and MapReduce, Apache's Hadoop and so on.
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by Blaise Barney - Lawrence Livermore National Laboratory
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by Ian Foster - Addison Wesley
Introduction to parallel programming and a guide for developing programs for parallel and distributed systems. Programs are developed in a methodical fashion and both cost and performance are considered at each stage in a design.
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A book that introduces .NET programmers to patterns for including parallelism in their applications. Examples of these patterns are parallel loops, parallel tasks and data aggregation with map-reduce. Each pattern has its own chapter.
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