Coverart for item
The Resource Big data management and processing, edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya

Big data management and processing, edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya

Label
Big data management and processing
Title
Big data management and processing
Statement of responsibility
edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya
Contributor
Subject
Language
eng
Summary
From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." --Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects
Member of
Dewey number
005.7
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Li, Kuan-Ching,
  • Jiang, Hai,
  • Zomaya, Albert Y.,
Series statement
Chapman & Hall/CRC big data series
http://library.link/vocab/subjectName
  • Big data
  • Data mining
  • Information storage and retrieval systems
Label
Big data management and processing, edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • Cover ; Half Title ; Title Page ; Copyright Page ; Contents ; Foreword ; Preface ; Acknowledgments ; Editors ; Contributors ; Chapter 1: Big Data: Legal Compliance and Quality Management ; Chapter 2: Energy Management for Green Big Data Centers
  • Chapter 3: The Art of In-Memory Computing for Big Data Processing Chapter 4: Scheduling Nested Transactions on In-Memory Data Grids ; Chapter 5: Co-Scheduling High-Performance Computing Applications ; Chapter 6: Resource Management for MapReduce Jobs Performing Big Data Analytics
  • Chapter 7: Tyche: An Efficient Ethernet-Based Protocol for Converged Chapter 8: Parallel Backpropagation Neural Network for Big Data Processing on Many-Core Platform ; Chapter 9: SQL-on-Hadoop Systems: State-of-the-Art Exploration, Models, Performances, Issues, and Recommendations
  • Chapter 10: One Platform Rules All: From Hadoop 1.0 to Hadoop 2.0 and Spark Chapter 11: Security, Privacy, and Trust for User-Generated Content: The Challenges and Solutions ; Chapter 12: Role of Real-Time Big Data Processing in the Internet of Things
  • Chapter 13: End-to-End Security Framework for Big Sensing Data Streams Chapter 14: Considerations on the Use of Custom Accelerators for Big Data Analytics ; Chapter 15: Complex Mining from Uncertain Big Data in Distributed Environments: Problems ; Chapter 16: Clustering in Big Data
Control code
ocn987791136
Dimensions
unknown
Extent
1 online resource (xviii, 469 pages)
File format
unknown
Form of item
online
Isbn
9781351650045
Level of compression
unknown
Note
Taylor & Francis
Other control number
10.1201/9781315154008
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)987791136
Label
Big data management and processing, edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • Cover ; Half Title ; Title Page ; Copyright Page ; Contents ; Foreword ; Preface ; Acknowledgments ; Editors ; Contributors ; Chapter 1: Big Data: Legal Compliance and Quality Management ; Chapter 2: Energy Management for Green Big Data Centers
  • Chapter 3: The Art of In-Memory Computing for Big Data Processing Chapter 4: Scheduling Nested Transactions on In-Memory Data Grids ; Chapter 5: Co-Scheduling High-Performance Computing Applications ; Chapter 6: Resource Management for MapReduce Jobs Performing Big Data Analytics
  • Chapter 7: Tyche: An Efficient Ethernet-Based Protocol for Converged Chapter 8: Parallel Backpropagation Neural Network for Big Data Processing on Many-Core Platform ; Chapter 9: SQL-on-Hadoop Systems: State-of-the-Art Exploration, Models, Performances, Issues, and Recommendations
  • Chapter 10: One Platform Rules All: From Hadoop 1.0 to Hadoop 2.0 and Spark Chapter 11: Security, Privacy, and Trust for User-Generated Content: The Challenges and Solutions ; Chapter 12: Role of Real-Time Big Data Processing in the Internet of Things
  • Chapter 13: End-to-End Security Framework for Big Sensing Data Streams Chapter 14: Considerations on the Use of Custom Accelerators for Big Data Analytics ; Chapter 15: Complex Mining from Uncertain Big Data in Distributed Environments: Problems ; Chapter 16: Clustering in Big Data
Control code
ocn987791136
Dimensions
unknown
Extent
1 online resource (xviii, 469 pages)
File format
unknown
Form of item
online
Isbn
9781351650045
Level of compression
unknown
Note
Taylor & Francis
Other control number
10.1201/9781315154008
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)987791136

Library Locations

    • InternetBorrow it
      Albany, Auckland, 0632, NZ
Processing Feedback ...