Adaptive Mobile Computing.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Migliardi, Mauro
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Elsevier Science, 2017.
Colección:Intelligent data centric systems.
Temas:
Mobile computing.
Big data.
Informatique mobile.
Donn�ees volumineuses.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Big data
Mobile computing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Adaptive Mobile Computing: Advances in Processing Mobile Data Sets; Copyright; Contents; Contributors; Acknowledgments; Introduction; Part I: Generating Mobile Data; Chapter 1: Cloud Services for Smart City Applications; 1. Introduction; 2. A Short Overview on Intelligent Transportation Systems; 3. MobiWay-Middleware Connection Hub for ITS Services; 4. An Open-Source ITS Mobile App; 5. The MobiWay Platform; 6. Web Services for ITS Support; 7. Evaluation Results; 8. Conclusion; References
  • Chapter 2: Environment Sensors Measures Processing: Integrating Real-Time and Spreadsheet-Based Data Analysis1. Introduction; 2. Environment Sensors Measure Processing: Exploiting Data Analytics for Adaptive Real-Time Data Processing; 2.1. Spreadsheet Data Sharing for Offline Data Analytics; 3. OSGi Framework Based IoT Engine for Real-Time Data Collection and Data Mashup; 3.1. Object Virtualization Layer; 3.2. Data Mashup Layer; 3.3. OSGi Framework Based IoT Engine Implementation; 4. Spreadsheet Space Layer: Spreadsheet-Based Data Sharing and Collaborative Analytics; 4.1. Platform Overview
  • 4.2. Data Export and Import Mechanisms4.3. Data Synchronization Mechanism; 5. A Field Test Experiment: Deploying the Platform in a Real Case Scenario; 6. Conclusions; References; Further Reading; Chapter 3: Fusion of Heterogeneous Mobile Data, Challenges, and Solutions; 1. Introduction; 2. Opportunities: Application Examples; 3. Challenges; 3.1. Nontechnical Challenges; 3.2. Technical Challenges; 4. Solutions; 4.1. Platform for Sharing and Fusing Heterogeneous Mobile Data; 4.1.1. System requirements; 4.1.2. Our approach: SeRAVi; Visualization; Data retrieval
  • 4.1.3. Current status and future direction4.2. Platform for Sharing and Generating Social Sensor Data; 4.2.1. System requirements; 4.2.2. Basic idea for sharing program codes; 4.2.3. S3 system; SSTD, SSFD, and SSOC; System architecture; 4.2.4. Comparison with existing related platforms; 4.2.5. Current status and future plan; 4.3. Game-Based Approach for Collecting Users High-Level Context; 4.3.1. Basic idea; 4.3.2. System; System architecture; Initialization; Questions about contexts; App log collection; Game design; 4.3.3. Current status and future plan; 5. Conclusions; Acknowledgments

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