عنوان

Data-intensive computing

(Number (ISBN

0511844409 (electronic bk.)

(Number (ISBN

1139775626 (electronic bk.)

(Number (ISBN

1139781650 (electronic bk.)

(Number (ISBN

9780511844409 (electronic bk.)

(Number (ISBN

9781139775625 (electronic bk.)

(Number (ISBN

9781139781657 (electronic bk.)

Erroneous ISBN

0521191955

Erroneous ISBN

1283746239

Erroneous ISBN

9780521191951

Erroneous ISBN

9781283746236

Number

dltt

Title Proper

Data-intensive computing

General Material Designation

[Book]

Other Title Information

architectures, algorithms, and applications /

First Statement of Responsibility

edited by Ian Gorton, Deborah K. Gracio

Place of Publication, Distribution, etc.

New York :

Name of Publisher, Distributor, etc.

Cambridge University Press,

Date of Publication, Distribution, etc.

c2013

Specific Material Designation and Extent of Item

1 online resource (viii, 290 p.) :

Other Physical Details

ill

Text of Note

Includes bibliographical references and index

Text of Note

Data-intensive computing : a challenge for the 21st century / Ian Gorton and Deborah K. Gracio -- Anatomy of data-intensive computing applications / Ian Gorton and Deborah K. Gracio -- Hardware architectures for data-intensive computing problems : a case study for string matching / Antonino Tumeo, Oreste Villa and Daniel Chavarría-Miranda -- Data management architectures / Terence Critchlow ... [et al.] -- Large scale data management techniques in cloud computing platforms / Sherif Sakr and Anna Liu -- Dimension reduction for streaming data / Chandrika Kamath -- Binary classification with support vector machines / Patrick Nichols, Bobbie-Jo Webb-Robertson and Christopher Oehmen -- Beyond MapReduce : new requirements for scalable data processing / Bill Howe -- Let the data do the talking : hypothesis discovery from large-scale datasets in real time / Christopher Oehmen ... [et al.] -- Data-intensive visual analysis for cybersecurity / William A. Pike ... [et al.]

0

Text of Note

"A reference describing the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today"--

Text of Note

"In a world of rapid technological change such as the one we inhabit, it's occasionally instructive to contemplate how much things have changed in the last few years. For many, remembering life without the ability to view the World Wide Web (WWW) through the windows of a browser will be difficult (if not impossible for less 'mature' readers). And is it only seven years since YouTube, a Web site that is ingrained in so many facets of modern life, first came to life? How did we all really survive without FaceBook all those (actually, about 5) years ago? Various estimates put the amount of data stored by consumers and businesses around the world in 2010 in the vicinity of 13 exabytes, with a growth rate of 20--25% per annum. That's a lot of data. No wonder IBM is pursuing building a 120 petabyte storage array . There's obviously going to be a market for such devices in the future. As data volumes of all types, from video and photos to text documents and binary files for science, continue to grow in number and resolution, it's clear we have genuinely entered the realm of data intensive, or big data , computing."--

Source for Acquisition/Subscription Address

MIL

Stock Number

405873

Title

Data-intensive computing.

International Standard Book Number

9780521191951

Computer storage devices

Data transmission systems

Database management

High performance computing

Software architecture

COM-- 030000

Number

Edition

Class number

Class number

Book number

Book number

Gorton, Ian

Gracio, Deborah K.,1965-

Date of Transaction

20130304114616.0

Electronic name

[Book]

Y