Cloud computing for science and engineering (Record no. 30810)

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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2022-05-28 995.00 004.6782 FOS 033005 2022-06-01 Books

Powered by Koha