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Intelligent Agents in Data-intensive Computing [electronic resource] / edited by Joanna Kołodziej, Luís Correia, José Manuel Molina.

Contributor(s): Kołodziej, Joanna [editor.] | Correia, Luís [editor.] | Manuel Molina, José [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Big Data: 14Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XVIII, 216 p. 61 illus., 29 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319237428.Subject(s): Computational intelligence | Data mining | Artificial intelligence | Computational Intelligence | Data Mining and Knowledge Discovery | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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.
In: Springer Nature eBookSummary: 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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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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