000			02385nam a22003617a 4500
001			sulb-eb0017120
003			BD-SySUS
005			20160405140634.0
008			101027s2012||||enk o ||1 0|eng|d
020			_a9780511844409 (ebook)
020			_z9780521191951 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aQA76.88 _b.D38 2013
082	0	0	_a004.5 _223
245	0	0	_aData-Intensive Computing : _bArchitectures, Algorithms, and Applications / _cedited by Ian Gorton, Deborah K. Gracio.
264		1	_aCambridge : _bCambridge University Press, _c2012.
300			_a1 online resource (297 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aThe world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice.
650		0	_aHigh performance computing
650		0	_aDatabase management
650		0	_aComputer storage devices
650		0	_aSoftware architecture
650		0	_aData transmission systems
700	1		_aGorton, Ian, _eeditor.
700	1		_aGracio, Deborah K., _eeditor.
776	0	8	_iPrint version: _z9780521191951
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511844409
942			_2Dewey Decimal Classification _ceBooks
999			_c38558 _d38558