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Modeling and Processing for Next-Generation Big-Data Technologies

With Applications and Case Studies

  • Book
  • © 2015

Overview

Editors:
  1. Fatos Xhafa

    1. Universitat Politècnica de Catalunya, Barcelona, Spain

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  2. Leonard Barolli

    1. Fukuoka Institute of Technology (FIT), Fukuoka, Japan

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  3. Admir Barolli

    1. University of Salerno, Salerno, Italy

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  4. Petraq Papajorgji

    1. Canadian Institute of Technology, Tirana, Albania

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  • Describes the state-of-the-art modeling and storage methods for large data sets and discusses current challenges for the development of next generation data technologies
  • Includes benchmarking, applications and case studies
  • Edited and written by leading experts in the field

Part of the book series: Modeling and Optimization in Science and Technologies (MOST, volume 4)

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Table of contents (19 chapters)

  1. Front Matter

    Pages 1-18
    Download chapter PDF

  2. Exploring the Hamming Distance in Distributed Infrastructures for Similarity Search

    • Rodolfo da Silva Villaça, Rafael Pasquini, Luciano Bernardes de Paula, Maurício Ferreira Magalhães
    Pages 1-28

  3. Data Modeling for Socially Based Routing in Opportunistic Networks

    • Radu-Ioan Ciobanu, Ciprian Dobre, Fatos Xhafa
    Pages 29-55

  4. Decision Tree Induction Methods and Their Application to Big Data

    • Petra Perner
    Pages 57-88

  5. Sensory Data Gathering for Road Traffic Monitoring: Energy Efficiency, Reliability, and Fault Tolerance

    • Suchetana Chakraborty, Sandip Chakraborty, Sukumar Nandi, Sushanta Karmakar
    Pages 89-112

  6. Data Aggregation and Forwarding Route Control for Efficient Data Gathering in Dense Mobile Wireless Sensor Networks

    • Kazuya Matsuo, Keisuke Goto, Akimitsu Kanzaki, Takahiro Hara, Shojiro Nishio
    Pages 113-143

  7. P2P Data Replication: Techniques and Applications

    • Evjola Spaho, Admir Barolli, Fatos Xhafa, Leonard Barolli
    Pages 145-166

  8. Leveraging High-Performance Computing Infrastructures to Web Data Analytic Applications by Means of Message-Passing Interface

    • Alexey Cheptsov, Bastian Koller
    Pages 167-185

  9. ReHRS: A Hybrid Redundant System for Improving MapReduce Reliability and Availability

    • Jia-Chun Lin, Fang-Yie Leu, Ying-ping Chen
    Pages 187-209

  10. Analysis and Visualization of Large-Scale Time Series Network Data

    • Patricia Morreale, Allan Goncalves, Carlos Silva
    Pages 211-229

  11. Parallel Coordinates Version of Time-Tunnel (PCTT) and Its Combinatorial Use for Macro to Micro Level Visual Analytics of Multidimensional Data

    • Yoshihiro Okada
    Pages 231-255

  12. Towards a Big Data Analytics Framework for IoT and Smart City Applications

    • Martin Strohbach, Holger Ziekow, Vangelis Gazis, Navot Akiva
    Pages 257-282

  13. How the Big Data Is Leading the Evolution of ICT Technologies and Processes

    • Antonio Scarfò, Francesco Palmieri
    Pages 283-317

  14. Big Data, Unstructured Data, and the Cloud: Perspectives on Internal Controls

    • David Simms
    Pages 319-340

  15. Future Human-Centric Smart Environments

    • María V. Moreno-Cano, José Santa, Miguel A. Zamora-Izquierdo, Antonio F. Skarmeta
    Pages 341-365

  16. Automatic Configuration of Mobile Applications Using Context-Aware Cloud-Based Services

    • Tor-Morten Grønli, Gheorghita Ghinea, Muhammad Younas, Jarle Hansen
    Pages 367-383

  17. A Socialized System for Enabling the Extraction of Potential Values from Natural and Social Sensing

    • Ryoichi Shinkuma, Yasuharu Sawada, Yusuke Omori, Kazuhiro Yamaguchi, Hiroyuki Kasai, Tatsuro Takahashi
    Pages 385-404

  18. Providing Crowd-Sourced and Real-Time Media Services through an NDN-Based Platform

    • G. Piro, V. Ciancaglini, R. Loti, L. A. Grieco, L. Liquori
    Pages 405-441

  19. Linked Open Data as the Fuel for Smarter Cities

    • Mikel Emaldi, Oscar Peña, Jon Lázaro, Diego López-de-Ipiña
    Pages 443-472

  20. Benchmarking Internet of Things Deployment: Frameworks, Best Practices, and Experiences

    • Franck Le Gall, Sophie Vallet Chevillard, Alex Gluhak, Nils Walravens, Zhang Xueli, Hend Ben Hadji
    Pages 473-496
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Keywords

About this book

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

Editors and Affiliations

  • Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  • Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli

  • University of Salerno, Salerno, Italy

    Admir Barolli

  • Canadian Institute of Technology, Tirana, Albania

    Petraq Papajorgji

Bibliographic Information

  • Book Title: Modeling and Processing for Next-Generation Big-Data Technologies

  • Book Subtitle: With Applications and Case Studies

  • Editors: Fatos Xhafa, Leonard Barolli, Admir Barolli, Petraq Papajorgji

  • Series Title: Modeling and Optimization in Science and Technologies

  • DOI: https://doi.org/10.1007/978-3-319-09177-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-09176-1Published: 13 November 2014

  • Softcover ISBN: 978-3-319-38500-6Published: 10 September 2016

  • eBook ISBN: 978-3-319-09177-8Published: 04 November 2014

  • Series ISSN: 2196-7326

  • Series E-ISSN: 2196-7334

  • Edition Number: 1

  • Number of Pages: XX, 516

  • Number of Illustrations: 167 b/w illustrations, 52 illustrations in colour

  • Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Communications Engineering, Networks

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