Book Title: Big Data: Storage, Sharing, and Security (3S)
(Publisher: Taylor & Francis LLC,
CRC Press )
Important Dates:
Title and Abstract Due: February 15, 2015 (please email to Dr. Fei Hu: fei@eng.ua.edu)
Final Chapter Draft Due: July 1, 2015
Camera-Ready Due: July 15, 2015
Send for Publishing: August 1, 2015
Note: Please submit
all finished book chapters and inquires to Dr. Fei Hu {email: fei@eng.ua.edu}.
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2. Book Information
Book
Editor:
Associate Professor
Department of Electrical and Computer Engineering
University of Alabama,
Tuscaloosa, AL 35487
E-mail: fei@eng.ua.edu
1.
Book Abstract:
Big Data is one of the hottest topics today due to the large-scale data generation
and distribution in computing products. It is tightly integrated with other
cutting-edge networking technologies, including cloud computing, social networks,
Internet of Things, sensor networks, etc. Characteristics of big data may
be summarized as four Vs, i.e., Volume (great volume), Variety (various modalities),
Velocity (rapid generation), and Value (huge value but very low density).
Many governments such as the U.S. also paid great attention to big data. In
March 2012, the Obama Administration announced a USD 200 million investment
to launch the "Big Data Research and Development Plan," which was
a second major scientific and technological development initiative after the
"Information Highway" initiative in 1993. Since Big Data is a relatively
new field, there are many challenging issues to be addressed today: (1) Storage:
How do we aggregate heterogeneous types of data from numerous sources, and
then use fast database management technology to store the Big Data? (2) Sharing:
How do we use cloud computing to share the Big Data among large groups of
people? (3) Security: How do we protect the privacy of Big Data during the
network sharing? This book will cover the above 3S designs, through the detailed
description of the concepts and implementations.
2.
Book Features
Since Big Data is such a new field, there are very few books covering its
implementation. Second, although a few books are already published, they are
mostly about the basic concepts and society impacts. They are thus not suitable
to R&D people. Instead, our book will discuss Big Data management from
R & D perspective, and will have >400 pages of technical details on
the most important implementation aspects, i.e., 3S. Our chapters will be
written by world-famous Big Data experts.
Table of Contents
Preface
PART I. CONCEPTS
Ch1. What Is Big Data?
Ch2. Integration with Cloud Computing
Ch3. Big Data Applications
Ch4. State of The Art and Future DirectionsPART II. BIG DATA: ACQUISITION
Ch5. Generation of Big Data
Ch6. Integration with Internet of Things
Ch7. Sensor Data Aggregation
Ch8. Hardware for Big Data GenerationPART III. BIG DATA: STORAGE
Ch9. Uploading to Clouds
Ch10. Distributed Storage Management
Ch11. Database Management for Big DataPART IV. BIG DATA: SHARING
Ch12. Networked Big Data Sharing
Ch13. Distributed Big Data Access
Ch14. Big Data TransmissionPART V. BIG DATA: SECURITY
Ch15. Storage Security
Ch16. Access Security
Ch17. Privacy Preservation
Ch18. Big Data Mining Security
Ch19. Integration with Cloud Computing SecurityPART VI. ADVANCED R & D TOPICS
Ch20. Big Data Computing
Ch21. Big Data Products
Ch22. Future Trends