Mastering cloud computing : foundations and applications programming
Material type: TextPublication details: Chennai McGrawHill 2019ISBN: 9781259029950Subject(s): Cloud computing DDC classification: 004.6782 Summary: 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. Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment Real-world case studies include scientific, business, and energy-efficiency considerationsItem type | Current library | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
BK | Stack | 004.6782 RAJ/M (Browse shelf (Opens below)) | Available | 54690 |
Browsing Kannur University Central Library shelves, Shelving location: Stack Close shelf browser (Hides shelf browser)
004.6782 KRU/C Cloud security: A comprehensive guide to secur cloud computing | 004.6782 MAG Cloud computing: Data-intensive computing and scheduling | 004.6782 MIL/C Cloud Computing:Web-based applications that change the way you work and collaborate online | 004.6782 RAJ/M Mastering cloud computing : foundations and applications programming | 004.68 INN Innovation journey of Wi-Fi :the road to global success | 004.696 RAT/T 3-D human modeling and animation | 004.7 MAI/P PC Architecture and Peripharals |
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.
Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment
Real-world case studies include scientific, business, and energy-efficiency considerations
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