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Distributed and Cloud ComputingSearchContents

Table of Contents

Cover imageTitle pageTable of ContentsCopyrightDedicationPrefaceAbout the AuthorsForewordPart 1: Systems Modeling, Clustering, and VirtualizationPart 2: Computing Clouds, Service-Oriented Architecture, and ProgrammingIntroductionChapter 4: Cloud Platform Architecture over Virtualized Data CentersChapter 5: Service-Oriented Architectures for Distributed ComputingChapter 6: Cloud Programming and Software EnvironmentsChapter 4. Cloud Platform Architecture over Virtualized Data CentersChapter 5. Service-Oriented Architectures for Distributed ComputingChapter 6. Cloud Programming and Software EnvironmentsPart 3: Grids, P2P, and the Future InternetIndex

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Chapter 6: Cloud Programming and Software Environments

Chapter 6: Cloud Programming and Software EnvironmentsWe introduce major cloud programming paradigms: MapReduce, BigTable, Twister, Dryad, DryadLINQ, Hadoop, Sawzall, and Pig Latin. We use concrete service examples to explain the implementation and application requirements in the cloud. We review core service models and access technologies. Cloud services provided by Google App Engine, Amazon Web Service, and Microsoft Windows Azure are illustrated by example applications. In particular, we illustrate how-to programming the GAE, AWS EC2, S3, EBS, and others. We review the open-source Eucalyptus, Nimbus, and OpenNebula and the startup Manjrasoft Aneka system for cloud computing.

This chapter is authored by Geoffrey Fox and Albert Zomaya with partial contributions by Rajkumar Buyya (Section 6.5.3) and Judy Qiu (Section 6.2.6). Special technical assistances are from Gregor von Laszewski, Javier Diaz, Archit

Kulshrestha, Andrew Younge, Reza Moravaeji, Javid Teheri, and Renato Figueiredo. The final manuscript was edited by Kai Hwang.

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