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Cloud Computing for Science and Engineering [Scientific and Engineering Computat
US $5.84
ApproximatelyS$ 7.53
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: Saint Louis, Missouri, United States
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eBay item number:396048281926
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Item specifics
- Condition
- ISBN
- 9780262037242
About this product
Product Identifiers
Publisher
MIT Press
ISBN-10
0262037246
ISBN-13
9780262037242
eBay Product ID (ePID)
239681854
Product Key Features
Number of Pages
392 Pages
Language
English
Publication Name
Cloud Computing for Science and Engineering
Publication Year
2017
Subject
Engineering (General), Cloud Computing, Computer Science, General, Research & Methodology
Type
Textbook
Subject Area
Computers, Technology & Engineering, Science
Series
Scientific and Engineering Computation Ser.
Format
Hardcover
Dimensions
Item Height
1.3 in
Item Weight
36.3 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2017-016889
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
004.67/82
Synopsis
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.
LC Classification Number
QA76.585.F67 2017
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