book · Cambridge University Press eBooks · 2012
Data-Intensive Computing
Ian Gorton, Ian Gorton, Ian Gorton, Ian Gorton, Antonino Tumeo, Terence Critchlow, Sherif Sakr, Chandrika Kamath, Patrick Nichols, Bill Howe, Christopher Oehmen, William A. Pike
Cited by 14Abstract and details only
Abstract
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.
Cite this paper
Gorton, I., Gorton, I., Gorton, I., Gorton, I., Tumeo, A., Critchlow, T., Sakr, S., Kamath, C., Nichols, P., Howe, B., Oehmen, C., & Pike, W. A. (2012). Data-Intensive Computing. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511844409
Gorton, Ian, et al. “Data-Intensive Computing.” Cambridge University Press eBooks, 2012, https://doi.org/10.1017/cbo9780511844409.
Gorton, Ian, Ian Gorton, Ian Gorton, Ian Gorton, Antonino Tumeo, Terence Critchlow, Sherif Sakr, et al. 2012. “Data-Intensive Computing.” Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511844409.
Gorton, I. et al. (2012) ‘Data-Intensive Computing’, Cambridge University Press eBooks. Available at: https://doi.org/10.1017/cbo9780511844409.
@book{gorton2012data,
title = {{Data-Intensive Computing}},
author = {Gorton, Ian and Gorton, Ian and Gorton, Ian and Gorton, Ian and Tumeo, Antonino and Critchlow, Terence and Sakr, Sherif and Kamath, Chandrika and Nichols, Patrick and Howe, Bill and Oehmen, Christopher and Pike, William A.},
publisher = {Cambridge University Press eBooks},
year = {2012},
doi = {10.1017/cbo9780511844409}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.