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Christian Vecchiola

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Kirjojen julkaisuhaarukka 2013-2026.

Mastering Cloud Computing

Mastering Cloud Computing

Rajkumar Buyya; Christian Vecchiola; S.Thamarai Selvi; Shivananda Poojara; Satish Narayana Srirama

ELSEVIER SCIENCE TECHNOLOGY
2026
nidottu
Mastering Cloud Computing: Foundations and Applications Programming, Second Edition serves as a comprehensive introduction for readers seeking to develop applications in the ever-evolving world of cloud computing. As technology advances, applications are no longer confined to a single machine but instead operate from virtual servers, accessible globally at any time. This book equips aspiring developers with the essential tools and knowledge to create effective cloud-based applications. Beyond the foundational principles, the book delves into distributed and parallel computing, providing in-depth coverage of virtualization, thread programming, task programming, and map-reduce techniques. It also addresses the development of applications for various cloud architectures, highlighting industrial platforms and critical security considerations. To reinforce learning, the text integrates real-world case studies, practical examples, hands-on exercises, and lab activities throughout, allowing readers to apply concepts directly and build their expertise effectively.
Mastering Cloud Computing

Mastering Cloud Computing

Rajkumar Buyya; Christian Vecchiola; S.Thamarai Selvi

Morgan Kaufmann Publishers In
2013
nidottu
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.