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Intelligent Agents in Data-intensive Computing

  • Book
  • © 2016

Overview

Editors:
  1. Joanna Kołodziej

    1. Department of Computer Science, Cracow University of Technology, Cracow, Poland

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  2. Luís Correia

    1. Faculty of Sciences, University of Lisbon, Lisboa, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  3. José Manuel Molina

    1. Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain

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  • A comprehensive survey of the agent-based models, technologies, architectures and solutions for data intensive computing and massive data processing systems
  • Discusses the autonomous, adaptive and self-organizing agent-based solution for massive storage, management and analytics in intelligent distributed systems
  • Presents the implementation and simulation of the efficient agent-inspired techniques for data, resource, security and system reliability management
  • Presents a valuable analysis of the limits of different practical approaches and addresses the most important directions in the research and future engineering trends and their consequences
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Big Data (SBD, volume 14)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Bio-Inspired ICT for Big Data Management in Healthcare

    • Alessandro Di Stefano, Aurelio La Corte, Pietro Lió, Marialisa Scatá
    Pages 1-26

  3. Control Aspects in Multiagent Systems

    • Franco Cicirelli, Libero Nigro
    Pages 27-50

  4. A Different Perspective of Agent-Based Techniques: Markovian Agents

    • Marco Gribaudo, Mauro Iacono
    Pages 51-70

  5. Autonomous, Adaptive, and Self-Organized Multiagent Systems for the Optimization of Decentralized Industrial Processes

    • Max Gath, Otthein Herzog, Stefan Edelkamp
    Pages 71-98

  6. Formal Specification Language and Agent Applications

    • Vinitha Hannah Subburaj, Joseph E. Urban
    Pages 99-122

  7. Large-Scale Simulations with FLAME

    • Simon Coakley, Paul Richmond, Marian Gheorghe, Shawn Chin, David Worth, Mike Holcombe et al.
    Pages 123-142

  8. Cloud Computing and Multiagent Systems, a Promising Relationship

    • Fernando De la Prieta, Juan Manuel Corchado
    Pages 143-161

  9. Privacy Risks in Cloud Computing

    • Maria Del Mar López Ruiz, Juanita Pedraza
    Pages 163-192

  10. Adaptive Resource Allocation in Cloud Computing Based on Agreement Protocols

    • Florin Pop, Radu-Ioan Tutueanu, Ciprian Barbieru, Mihaela-Andreea Vasile, Joanna Kołodziej
    Pages 193-213

  11. Back Matter

    Pages 215-216
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Keywords

About this book

This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi-agent systems, and important formulations of data intensive problems in distributed computational environments together with the presentation of new agent-based tools to handle those problems and Big Data in general.

This volume can serve as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary work in the areas of data intensive computing and Big Data systems using emergent large-scale distributed computing paradigms. It will also allow newcomers to grasp key concepts and potential solutions on advanced topics of theory, models, technologies, system architectures and implementation of applications in Multi-Agent systems and data intensive computing.

 

 

Editors and Affiliations

  • Department of Computer Science, Cracow University of Technology, Cracow, Poland

    Joanna Kołodziej

  • Faculty of Sciences, University of Lisbon, Lisboa, Portugal

    Luís Correia

  • Computer Science Department, Universidad Carlos III de Madrid, Madrid, Spain

    José Manuel Molina

Bibliographic Information

  • Book Title: Intelligent Agents in Data-intensive Computing

  • Editors: Joanna Kołodziej, Luís Correia, José Manuel Molina

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-319-23742-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-23741-1Published: 30 September 2015

  • Softcover ISBN: 978-3-319-36520-6Published: 23 August 2016

  • eBook ISBN: 978-3-319-23742-8Published: 21 September 2015

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XVIII, 216

  • Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence

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