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Mastering Cloud Computing Foundations and Applications Programming ['Buyya, Rajkumar', 'Vecchiola, Christian', 'Selvi, S.Thamarai']

Par : Contributeur(s) : Type de matériel : TexteTexteÉditeur : Elsevier Science 2013Description : pType de contenu :
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ISBN :
  • 9780124114548
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Ressources en ligne : Abrégé : Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout, and a live environment on the Aneka platform where you can experiment and test your work. Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment Test and experiment with a live cloud system on the Aneka platform Real-world case studies include scientific, business, and energy-efficiency considerations Download examples and instructor support materials on the book's companion page
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Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won’t live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout, and a live environment on the Aneka platform where you can experiment and test your work. Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment Test and experiment with a live cloud system on the Aneka platform Real-world case studies include scientific, business, and energy-efficiency considerations Download examples and instructor support materials on the book's companion page

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