Mastering Cloud Computing
Foundations and Applications Programming
Nonfiction, Computers, Advanced Computing, Parallel Processing, Networking & Communications, General Computing
| Author: | Rajkumar Buyya, Christian Vecchiola, S.Thamarai Selvi | ISBN: | 9780124095397 |
| Publisher: | Elsevier Science | Publication: | April 5, 2013 |
| Imprint: | Morgan Kaufmann | Language: | English |
| Author: | Rajkumar Buyya, Christian Vecchiola, S.Thamarai Selvi |
| ISBN: | 9780124095397 |
| Publisher: | Elsevier Science |
| Publication: | April 5, 2013 |
| Imprint: | Morgan Kaufmann |
| Language: | English |
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
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
