Cloud computing for science and engineering

Cloud computing for science and engineering
Foster, Ian, Foster, Ian
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August 5, 2020 | History

Cloud computing for science and engineering

"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" -- From the publisher.

Publish Date
Publisher
The MIT Press
Language
English
Pages
372

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Edition Availability
Cover of: Cloud computing for science and engineering
Cloud computing for science and engineering
2017, The MIT Press
in English

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Book Details


Table of Contents

Orienting in the cloud universe
Managing data in the cloud
Storage as a service
Using cloud storage services
Computing in the cloud
Computing as a service
Using and managing virtual machines
Using and managing containers
Scaling deployments
The cloud as platform
Data analytics in the cloud
Streaming data to the cloud
Machine learning in the cloud
The globus research data management platform
Building your own cloud
Building your own cloud with Eucalyptus / with Rich Wolski
Building your own cloud with OpenStack / with Stig Telfer
Building your own SaaS
Security and other topics
Security and privacy
History, critiques, futures
Jupyter notebooks
Afterword : a discovery cloud.

Edition Notes

Includes bibliographical references and index.

Series
Scientific and Engineering Computation, Scientific and engineering computation

Classifications

Dewey Decimal Class
004.67/82
Library of Congress
QA76.585 .F67 2017, QA76.585.F67 2017

The Physical Object

Pagination
xvi, 372 pages
Number of pages
372

Edition Identifiers

Open Library
OL26939995M
ISBN 10
0262037246
ISBN 13
9780262037242
LCCN
2017016889
OCLC/WorldCat
981167298

Work Identifiers

Work ID
OL19726889W

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August 5, 2020 Edited by ImportBot import existing book
May 24, 2019 Created by MARC Bot import new book