000 -LEADER |
fixed length control field |
a |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
220601b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789388028790 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004.6782 |
Item number |
FOS |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Foster, Ian |
245 ## - TITLE STATEMENT |
Title |
Cloud computing for science and engineering |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
MIT Press, |
Date of publication, distribution, etc |
2017 |
Place of publication, distribution, etc |
Cambridge : |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvi, 372 p. ; |
Other physical details |
ill., |
Dimensions |
24 cm |
365 ## - TRADE PRICE |
Unit of pricing |
995.00 |
Price amount |
INR |
Price type code |
01 |
490 ## - SERIES STATEMENT |
Series statement |
Scientific and Engineering Computation |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Cloud computing |
|
Topical term or geographic name as entry element |
EC2 Container Service |
|
Topical term or geographic name as entry element |
Event Hubs |
|
Topical term or geographic name as entry element |
HD Insight |
|
Topical term or geographic name as entry element |
Bulk synchronous parallelism |
|
Topical term or geographic name as entry element |
Cloud native application |
|
Topical term or geographic name as entry element |
Docker |
|
Topical term or geographic name as entry element |
Eucalyptus cloud software |
|
Topical term or geographic name as entry element |
Firewall |
|
Topical term or geographic name as entry element |
Galaxy workflow system |
|
Topical term or geographic name as entry element |
Graphics processing unit |
|
Topical term or geographic name as entry element |
High performance computing |
|
Topical term or geographic name as entry element |
Kubernetes container management |
|
Topical term or geographic name as entry element |
Lustre parallel file system |
|
Topical term or geographic name as entry element |
Many task parallelism |
|
Topical term or geographic name as entry element |
Map Reduce |
|
Topical term or geographic name as entry element |
NoSQL database |
|
Topical term or geographic name as entry element |
OpenStack Cloud software |
|
Topical term or geographic name as entry element |
Python packages |
|
Topical term or geographic name as entry element |
Query language |
|
Topical term or geographic name as entry element |
Design pattern |
|
Topical term or geographic name as entry element |
TensorFlow machine learning |
|
Topical term or geographic name as entry element |
Virtual machine |
|
Topical term or geographic name as entry element |
Security |
|
Topical term or geographic name as entry element |
Data privacy |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Gannon, Dennis B. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |