Cloud Computing for Science and Engineering (Ian Foster, et al)

 
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Cloud Computing for Science and Engineering (Ian Foster, et al)

Video streaming, intelligent personal assistants, and content sharing have all been made possible by the introduction of robust, always-on cloud utilities, which have completely changed how consumers interact with information technology.

Businesses have profited from cloud services as well, outsourcing most of their information technology to them.

The benefits of the cloud, however, have not yet been completely utilized by science. Could the automation and outsourcing of menial tasks to the cloud speed up scientific discovery? Leading computer scientists Ian Foster and Dennis Gannon make the case that it can provide guidance on cloud computing for engineers, scientists, and students in this book. They also provide numerous practical examples.

The book examines the principles necessary to incorporate cloud services into scientific activity as well as the technology that supports the cloud, and innovative approaches to technical challenges made possible by the cloud.

It makes the ecosystem of cloud computing more understandable for both scientists and engineers. It offers a conceptual introduction, a discussion of systems, clear Python code examples, and even downloadable Jupyter notebooks.

It discusses managing data in the cloud and how to program these services, computing in the cloud—from deploying lone virtual machines or containers to supporting elementary interactive science experiments to assembling clusters of computers to perform data analytics—using the cloud as a platform for automating analysis processes, machine learning, and streaming data analysis, creating your own cloud with open source software, and cloud security.

Ebook Details

About the Authors
Distinguished Fellow at Argonne National Laboratory and Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago, Ian Foster holds both positions.
Publisher
Published
Published Date / Year
1 edition (September 29, 2017)
License(s)
Creative Commons Attribution- NonCommercial-NoDerivatives 4.0 license (international)
Hardcover
392 pages
eBook Format
PDF
Language
English
ISBN-10
0262037246
ISBN-13
978-0262037242

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