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Intelligent Agents in Data-intensive Computing / edited by Joanna Kołodziej, Luís Correia, José Manuel Molina

Contributor(s): SpringerLink (Online service) | Kołodziej, Joanna, editor literario | Correia, Luís., editor literario | Manuel Molina, José., editor literario
Material type: materialTypeLabelE-bookSeries: Studies in Big Data; 1414Publisher: Cham : Springer International Publishing, 2016Edition: 1st ed.Description: 1 recurso en línea (XVIII, 216 p.) : 61 ilustraciones, 29 ilustraciones en color.ISBN: 9783319237428.Subject: Inteligencia artificial | Ingeniería -- Congresos y asambleas | Data miningDDC classification: 006.3 Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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. .
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.76.I58 I584 2016 EB (Browse shelf(Opens below)) .i11586722 Acceso electrónico eBOOK .i11586722
Total holds: 0

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.

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. .

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