Cloud Computing for Science and Engineering

Cloud Computing for Science and Engineering
ePUB
  • eBook:
    Cloud Computing for Science and Engineering
  • Author:
    Ian Foster, Dennis B. Gannon
  • Edition:
    1 edition
  • Categories:
  • Data:
    September 29, 2017
  • ISBN:
    0262037246
  • ISBN-13:
    9780262037242
  • Language:
    English
  • Pages:
    392 pages
  • Format:
    ePUB

Book Description
A guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples.
The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples.
The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security.
The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.

Content

1. Orienting in the Cloud Universe

Part I. Managing Data in the Cloud
2. Storage as a Service
3. Using Cloud Storage Services

Part II. Computing in the Cloud
4. Computing as a Service
5. Using and Managing Virtual Machines
6. Using and Managing Containers
7. Scaling Deployments

Part III. The Cloud as Platform
8. Data Analytics in the Cloud
9. Streaming Data to the Cloud
10. Machine Learning in the Cloud
11. The Globus Research Data Management Platform

Part IV. Building Your Own Cloud
12. Building Your Own Cloud with Eucalyptus (with Rich Wolski)
13. Building Your Own Cloud with OpenStack (with Stig Telfer)
14. Building Your Own SaaS

Part V. Security and Other Topics
15. Security and Privacy
16. History, Critiques, Futures
17. Jupyter Notebooks
18. Afterword: A Discovery Cloud

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