HAPPY HOLIDAYS: Get a special discount on Apress Access! Subscribe today >>

Handbook of Data Intensive Computing

Editors: Furht, Borko, Escalante, Armando (Eds.)

  • Describes and evaluates the current state-of-the-art in new field
  • Presents current systems, and applications from main research labs in this new explosive field
  • Written at a level that business managers, entrepreneurs, and investors will find beneficial
see more benefits

Buy this book

eBook $149.00
price for USA
  • ISBN 978-1-4614-1415-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $199.00
price for USA
  • ISBN 978-1-4614-1414-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-1-4899-9919-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book.

Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.

Reviews

From the reviews:

“The material is written by experts from nearly 40 institutions, including academia, industry, and government; they are mostly from the US, but also from Europe, Asia, and Australia. … The editors make readers aware of the scale of data generated from a variety of sources, which require immediate comprehensive analyses. … The value of this book might be in collecting papers that focused on the issues of big data, so interested parties can have a handy overview of related problems and prospective solutions.” (Janusz Zalewski, ACM Computing Reviews, September, 2012)


Table of contents (30 chapters)

  • High Performance Network Architectures for Data Intensive Computing

    Lin, Geng (et al.)

    Pages 3-23

  • Architecting Data-Intensive Software Systems

    Mattmann, Chris A. (et al.)

    Pages 25-57

  • ECL/HPCC: A Unified Approach to Big Data

    Middleton, Anthony M. (et al.)

    Pages 59-107

  • Scalable Storage for Data-Intensive Computing

    Verma, Abhishek (et al.)

    Pages 109-127

  • Computation and Storage Trade-Off for Cost-Effectively Storing Scientific Datasets in the Cloud

    Yuan, Dong (et al.)

    Pages 129-153

Buy this book

eBook $149.00
price for USA
  • ISBN 978-1-4614-1415-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $199.00
price for USA
  • ISBN 978-1-4614-1414-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-1-4899-9919-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Bibliographic Information

Bibliographic Information
Book Title
Handbook of Data Intensive Computing
Editors
  • Borko Furht
  • Armando Escalante
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-1415-5
DOI
10.1007/978-1-4614-1415-5
Hardcover ISBN
978-1-4614-1414-8
Softcover ISBN
978-1-4899-9919-1
Edition Number
1
Number of Pages
XVIII, 794
Topics