Title Statements
- Full title :Mastering cloud computing : foundations and applications programming / Rajkumar Buyya, Christian Vecchiola, S. Thmarai Selvi.
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, 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 environmentTest and experiment with a live cloud system on the Aneka platformReal-world case studies include scientific, business, and energy-efficiency considerationsDownload examples and instructor support materials on the book's companion page.
Read More ↓Edition Statements
- Publication Date:©2013.
Publication Statements
- Publisher(s):Morgan Kaufmann
- Place of Publication:Waltham, MA
- Language:eng
- Publication Date:©2013.
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:0124095399, 9780124095397, 1299461441, 9781299461444
- oclc:ocn840408778
- LC Classification:QA76.585
- Dewey Decimal:004.67/82
Table of Contents
1. Introduction -- 2. Principles of Parallel and Distributed Computing -- 3. Virtualization -- 4. Cloud Computing Architecture -- 5. Aneka: Cloud application platform -- 6. Concurrent Computing: Thread programming -- 7. High-Throughput Computing: Task Programming -- 8. Data Intensive Computing: Map-Reduce Programming -- 9. Cloud Platforms in Industry -- 10. Cloud Applications -- 11. Advanced Topics in Cloud Computing.
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