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Informationen zum Autor Ian Gorton is a Laboratory Fellow in Computational Sciences and Math at Pacific Northwest National Laboratory (PNNL), where he manages the Data Intensive Scientific Computing Group and was the Chief Architect for PNNL's Data Intensive Computing Initiative. Gorton is a Senior Member of the IEEE Computer Society and a Fellow of the Australian Computer Society. Debbie Gracio joined Pacific Northwest National Laboratory in 1990 and is currently the Director for the Computational and Statistical Analytics Division and for the Data Intensive Computing Research Initiative. Since joining the laboratory, she has led the research, development, and management of multiple cross-disciplinary, multi-laboratory projects focused in the basic sciences and national security sectors. Klappentext Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Zusammenfassung This reference for computing professionals and researchers describes 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. Applications in bioinformatics and cybersecurity illustrate these principles in practice. Inhaltsverzeichnis 1. Data-intensive computing: a challenge for the twenty-first century Ian Gorton and Deborah K. Gracio; 2. The anatomy of data-intensive computing applications Ian Gorton and Deborah K. Gracio; 3. Hardware architectures for data-intensive computing problems: a case study for string matching Antonino Tumeo, Oreste Villa and Daniel Chavarr¿a-Miranda; 4. Data management architectures Terence Critchlow, Ghaleb Abdulla, Jacek Becla, Kerstin Kleese-Van Dam, Sam Lang and Deborah L. McGuinness; 5. Large-scale data management techniques in cloud computing platforms Sherif Sakr and Anna Liu; 6. Dimension reduction for streaming data Chandrika Kamath; 7. Binary classification with support vector machines Patrick Nichols, Bobbie-Jo Webb-Robertson and Christopher Oehmen; 8. Beyond MapReduce: new requirements for scalable data processing Bill Howe; 9. Letting the data do the talking: hypothesis discovery from large-scale data sets in real time Christopher Oehmen, Scott Dowson, Wes Hatley, Justin Almquist, Bobbie-Jo Webb-Robertson, Jason McDermott, Ian Gorton and Lee Ann McCue; 10. Data-intensive visual analysis for cybersecurity William A. Pike, Daniel M. Best, Douglas V. Love and Shawn J. Bohn....
