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  1. Home
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  3. Data-Intensive Computing
  • Cited by 9
  • Edited by Ian Gorton, Pacific Northwest National Laboratory, Washington, Deborah K. Gracio, Pacific Northwest National Laboratory, Washington
Publisher:
Cambridge University Press
Online publication date:
December 2012
Print publication year:
2012
Online ISBN:
9780511844409
DOI:
https://doi.org/10.1017/CBO9780511844409
Subjects:
Knowledge Management, Databases and Data Mining, Computer Science, Scientific Computing, Scientific Software
Information

Book description

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.

Reviews

"Overall, I recommend this book for researchers and advanced graduate students. The collection presents different essays for a very rich and diversified overview of one of the most recent and fast-paced revolutions in computer science."
Radu State, Computing Reviews

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