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

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

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
Editor
Subject
Language
eng
Summary
'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.
Member of
Cataloging source
  • StDuBDS
  • StDuBDS
Dewey number
005.7
Illustrations
illustrations
Index
no index present
LC call number
QA76.9.B45
LC item number
B556 2017
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Li, Kuan-Ching
  • Jiang, Hai
  • Zomaya, Albert Y.
Series statement
Chapman & Hall/CRC big data series
Series volume
3
http://library.link/vocab/subjectName
  • Big data
  • Data mining
  • Information storage and retrieval systems
Summary expansion
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
Target audience
specialized
Label
Big data management and processing, edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya, (electronic book)
Instantiates
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
  • text
  • still image
Content type MARC source
  • rdacontent
  • rdacontent
Contents
<p>1 Big Data: Legal Compliance and Quality Management <br><i>Paolo Balboni and Theodora Dragan<p> <p></i> <p>2 EnergyManagement for Green Big Data Centers <br><i>Chonglin Gu, Hejiao Huang, and Xiaohua Jia<p> <p></i> <p>3 The Art of In-Memory Computing for Big Data Processing <br><i>Mihaela-Andreea Vasile and Florin Pop<p> <p></i> <p>4 Scheduling Nested Transactions on In-Memory Data Grids <br><i>Junwhan Kim, Roberto Palmieri, and Binoy Ravindran<p> <p></i> <p>5 Co-Scheduling High-Performance Computing Applications<br><i>Guillaume Aupy, Anne Benoit, Loic Pottier, Padma Raghavan, Yves Robert, and Manu Shantharam<p> <p></i> <p>6 ResourceManagement forMapReduce Jobs Performing Big Data Analytics <br><i>Norman Lim and Shikharesh Majumdar<p> <p></i> <p>7 Tyche: An Efficient Ethernet-Based Protocol for Converged Networked Storage <br><i>Pilar Gonz'alez-F'erez and Angelos Bilas<p> <p></i> <p>8 Parallel Backpropagation Neural Network for Big Data Processing on Many-Core Platform <br><i>Boyang Li and Chen Liu<p></i> <p> <p>9 SQL-on-Hadoop Systems: State-of-the-Art Exploration, Models, Performances, Issues, and Recommendations <br><i>Alfredo Cuzzocrea, Rim Moussa, and Soror Sahri<p></i> <p> <p>10 One Platform Rules All: From Hadoop 1.0 to Hadoop 2.0 and Spark <br><i>Xiongpai Qin and Keqin Li<p></i> <p> <p>11 Security, Privacy, and Trust for User-Generated Content: The Challenges and Solutions <br><i>Yuhong Liu, Yu Wang, and Nam Ling<p></i> <p> <p>12 Role of Real-Time Big Data Processing in the Internet of Things <br><i>Miyuru Dayarathna, Paul Fremantle, Srinath Perera, and Sriskandarajah Suhothayan<p></i> <p> <p>13 End-to-End Security Framework for Big Sensing Data Streams<br><i>Deepak Puthal, Surya Nepal, Rajiv Ranjan, and Jinjun Chen<p> <p></i> <p>14 Considerations on the Use of Custom Accelerators for Big Data Analytics<br><i>Vito Giovanni Castellana, Antonino Tumeo, Marco Minutoli, Marco Lattuada, and Fabrizio Ferrandi<p></i> <p>15 Complex Mining from Uncertain Big Data in Distributed Environments: Problems, Definitions, and Two Effective and Efficient Algorithms <br><i>Alfredo Cuzzocrea, Carson Kai-Sang Leung, Fan Jiang, and Richard Kyle MacKinnon<p></i> <p> <p>16 Clustering in Big Data <br><i>Min Chen, Simone A. Ludwig, and Keqin Li<p></i> <p> <p>17 Large Graph Computing Systems<br><i>Chengwen Wu, Guangyan Zhang, Keqin Li, and Weimin Zheng<p></i> <p> <p>18 Big Data in Genomics<br><i>Huaming Chen, Jiangning Song, Jun Shen, and Lei Wang<p></i> <p> <p>19 Maximizing the Return on Investment in Big Data Projects: An Approach Based upon the Incremental Funding of Project Development<br><i>Antonio Juarez Alencar, Mauro Penha Bastos, Eber Assis Schmitz, Monica Ferreira da Silva, and Petros Sotirios Stefaneas<p></i> <p> <p>20 Parallel DataMining and Applications in Hospital Big Data Processing<br><i>Jianguo Chen, Zhuo Tang, Kenli Li, and Keqin Li<p></i> <p> <p>21 Big Data in the Parking Lot<br><i>Ryan Florin, Syedmeysam Abolghasemi, Aida Ghazi Zadeh, and Stephan Olariu<p></i>
Control code
AH32766088
Extent
469 pages
Form of item
electronic
Governing access note
After 5 minutes Preview, click on &#x32;Request Access&#x33;, fill in a form with your details. If triggered, the book will be loaned and tied to the one user for 1 week, during which time users can read or download as they choose. 4th user request triggers auto-purchase
Isbn
9781498768078
Lccn
2016051834
Media category
computer
Media MARC source
rdamedia
Other physical details
illustrations (black and white)
Specific material designation
remote
Label
Big data management and processing, edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya, (electronic book)
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
  • text
  • still image
Content type MARC source
  • rdacontent
  • rdacontent
Contents
<p>1 Big Data: Legal Compliance and Quality Management <br><i>Paolo Balboni and Theodora Dragan<p> <p></i> <p>2 EnergyManagement for Green Big Data Centers <br><i>Chonglin Gu, Hejiao Huang, and Xiaohua Jia<p> <p></i> <p>3 The Art of In-Memory Computing for Big Data Processing <br><i>Mihaela-Andreea Vasile and Florin Pop<p> <p></i> <p>4 Scheduling Nested Transactions on In-Memory Data Grids <br><i>Junwhan Kim, Roberto Palmieri, and Binoy Ravindran<p> <p></i> <p>5 Co-Scheduling High-Performance Computing Applications<br><i>Guillaume Aupy, Anne Benoit, Loic Pottier, Padma Raghavan, Yves Robert, and Manu Shantharam<p> <p></i> <p>6 ResourceManagement forMapReduce Jobs Performing Big Data Analytics <br><i>Norman Lim and Shikharesh Majumdar<p> <p></i> <p>7 Tyche: An Efficient Ethernet-Based Protocol for Converged Networked Storage <br><i>Pilar Gonz'alez-F'erez and Angelos Bilas<p> <p></i> <p>8 Parallel Backpropagation Neural Network for Big Data Processing on Many-Core Platform <br><i>Boyang Li and Chen Liu<p></i> <p> <p>9 SQL-on-Hadoop Systems: State-of-the-Art Exploration, Models, Performances, Issues, and Recommendations <br><i>Alfredo Cuzzocrea, Rim Moussa, and Soror Sahri<p></i> <p> <p>10 One Platform Rules All: From Hadoop 1.0 to Hadoop 2.0 and Spark <br><i>Xiongpai Qin and Keqin Li<p></i> <p> <p>11 Security, Privacy, and Trust for User-Generated Content: The Challenges and Solutions <br><i>Yuhong Liu, Yu Wang, and Nam Ling<p></i> <p> <p>12 Role of Real-Time Big Data Processing in the Internet of Things <br><i>Miyuru Dayarathna, Paul Fremantle, Srinath Perera, and Sriskandarajah Suhothayan<p></i> <p> <p>13 End-to-End Security Framework for Big Sensing Data Streams<br><i>Deepak Puthal, Surya Nepal, Rajiv Ranjan, and Jinjun Chen<p> <p></i> <p>14 Considerations on the Use of Custom Accelerators for Big Data Analytics<br><i>Vito Giovanni Castellana, Antonino Tumeo, Marco Minutoli, Marco Lattuada, and Fabrizio Ferrandi<p></i> <p>15 Complex Mining from Uncertain Big Data in Distributed Environments: Problems, Definitions, and Two Effective and Efficient Algorithms <br><i>Alfredo Cuzzocrea, Carson Kai-Sang Leung, Fan Jiang, and Richard Kyle MacKinnon<p></i> <p> <p>16 Clustering in Big Data <br><i>Min Chen, Simone A. Ludwig, and Keqin Li<p></i> <p> <p>17 Large Graph Computing Systems<br><i>Chengwen Wu, Guangyan Zhang, Keqin Li, and Weimin Zheng<p></i> <p> <p>18 Big Data in Genomics<br><i>Huaming Chen, Jiangning Song, Jun Shen, and Lei Wang<p></i> <p> <p>19 Maximizing the Return on Investment in Big Data Projects: An Approach Based upon the Incremental Funding of Project Development<br><i>Antonio Juarez Alencar, Mauro Penha Bastos, Eber Assis Schmitz, Monica Ferreira da Silva, and Petros Sotirios Stefaneas<p></i> <p> <p>20 Parallel DataMining and Applications in Hospital Big Data Processing<br><i>Jianguo Chen, Zhuo Tang, Kenli Li, and Keqin Li<p></i> <p> <p>21 Big Data in the Parking Lot<br><i>Ryan Florin, Syedmeysam Abolghasemi, Aida Ghazi Zadeh, and Stephan Olariu<p></i>
Control code
AH32766088
Extent
469 pages
Form of item
electronic
Governing access note
After 5 minutes Preview, click on &#x32;Request Access&#x33;, fill in a form with your details. If triggered, the book will be loaned and tied to the one user for 1 week, during which time users can read or download as they choose. 4th user request triggers auto-purchase
Isbn
9781498768078
Lccn
2016051834
Media category
computer
Media MARC source
rdamedia
Other physical details
illustrations (black and white)
Specific material designation
remote

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