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Data-Intensive Computing
Architectures, Algorithms, and Applications
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The 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.
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Cambridge University Press; November 2012
300 pages; ISBN 9781139785518
Read online, or download in secure PDF format
300 pages; ISBN 9781139785518
Read online, or download in secure PDF format
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ISBNs
1139785516
9780521191951
9781139785518
9781139793049
