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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 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.
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: [...]
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.
| 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 |