Modern big data architectures : a multi-agent systems perspective /

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"This book describes modern concepts and architectures for big data processing and analytics. It shows how data sets are produced and how they can be utilized to bring value in various branches of industry and science. It elaborates on how to apply common computational models and state of the a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ryżko, Dominik (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc., [2020]
Temas:
Big data.
Computer architecture.
Multiagent systems.
Données volumineuses.
Ordinateurs > Architecture.
Systèmes multiagents (Intelligence artificielle)
COMPUTERS > Machine Theory.
Big data
Computer architecture
Multiagent systems
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • CHAPTER 1: Introduction
  • 1.1 Motivation
  • 1.2 Assumptions
  • 1.3 For Whom Is This Book?
  • 1.4 Book Structure
  • CHAPTER 2: Evolution of IT Architectures and Paradigms
  • 2.1 Evolution of IT Architectures
  • 2.2 Actors and Agents
  • 2.3 From ACID to BASE, CAP, and NoSQL
  • The Database (R)evolution
  • 2.4 The Cloud
  • 2.5 From Distributed Sensor Networks to the Internet of Things and Cyber-Physical Systems
  • 2.6 The Rise of Big Data
  • CHAPTER 3: Sources of Data
  • 3.1 The Internet
  • 3.2 Scientific Data
  • 3.3 Industrial Data
  • 3.4 Internet of Things
  • CHAPTER 4: Big Data Tasks
  • 4.1 Recommender Systems
  • 4.2 Search
  • 4.3 Ad-tech and RTB Algorithms
  • 4.4 Cross-Device Graph Generation
  • 4.5 Forecasting and Prediction Systems
  • 4.6 Social Media Big Data
  • 4.7 Anomaly and Fraud Detection
  • 4.8 New Drug Discovery
  • 4.9 Smart Grid Control and Monitoring
  • 4.10 IoT and Big Data Applications
  • CHAPTER 5: Cloud Computing
  • 5.1 Cloud Enabled Architectures
  • 5.2 Agents and the Cloud
  • CHAPTER 6: Big Data Architectures
  • 6.1 Big Data Computation Models
  • 6.2 Publish-Subscribe Systems
  • 6.3 Stream Processing
  • 6.4 Higer Level Big Data Architectures
  • 6.5 Industry and Other Approaches
  • 6.6 Actor and Agent-Based Big Data Architectures
  • CHAPTER 7: Big Data Analytics, Mining, and Machine Learning
  • 7.1 To SQL or Not to SQL
  • 7.2 Big Data Mining and Machine Learning
  • CHAPTER 8: Physically Distributed Systems
  • Mobile Cloud, Internet of Things, Edge Computing
  • 8.1 Mobile Cloud
  • 8.2 Edge and Fog Computing
  • 8.3 Internet of Things
  • CHAPTER 9: Summary
  • BIBLIOGRAPHY
  • INDEX
  • END USER LICENSE AGREEMENT

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