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Beschreibung
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.
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.
Zusammenfassung

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: [...]

Inhaltsverzeichnis

Bio-Inspired ICT for Big Data Management in Healthcare.- Control AspectsiIn Multiagent Systems.- A Different Perspective of Agent-Based Techniques: Markovian Agents.- Autonomous, Adaptive, And Self-Organized Multiagent Systems for the Optimization of Decentralized Industrial Processes.- Formal Specification Language and Agent Applications.- Large-Scale Simulations with FLAME.- Cloud Computing and Multiagent Systems, A Promising Relationship.- Privacy Risks in Cloud Computing.- Adaptive Resource Allocation in Cloud Computing Based on Agreement Protocols.

Details
Erscheinungsjahr: 2016
Fachbereich: Technik allgemein
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Studies in Big Data
Inhalt: xviii
216 S.
ISBN-13: 9783319365206
ISBN-10: 3319365207
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kolodziej, Joanna
Correia, Luís
Manuel Molina, José
Redaktion: Ko¿odziej, Joanna
Correia, Luís
Manuel Molina, José
Herausgeber: Joanna Kolodziej/Luís Correia/José Manuel Molina
Auflage: Softcover reprint of the original 1st edition 2016
Hersteller: Springer
Birkhäuser
Springer International Publishing AG
Studies in Big Data
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 13 mm
Von/Mit: Joanna Ko¿odziej (u. a.)
Erscheinungsdatum: 23.08.2016
Gewicht: 0,365 kg
Artikel-ID: 109581710

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