Adaptive middleware for the internet of things : the GAMBAS approach

Adaptive middleware for the internet of things the GAMBAS approach

Adaptive Middleware for the Internet of Things introduces a scalable, interoperable and privacy-preserving approach to realize IoT applications and discusses abstractions and mechanisms at the middleware level that simplify the realization of services that can adapt autonomously to the behavior of t...

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Bibliographic Details
Other Authors: Handte, Marcus, author (author)
Format: eBook
Language:Inglés
Published: Gistrup, Denmark ; Delft, Netherlands : River Publishers [2019]
Edition:1st ed
Series:River Publishers series in communications.
Subjects:
Internet of things.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009763127006719
Table of Contents:
  • Cover
  • Half Title
  • Series
  • Title
  • Copyright
  • Contents
  • Preface
  • List of Figures
  • List of Abbreviations
  • 1 Introduction
  • 1.1 Motivation
  • 1.2 GAMBAS Objectives
  • 1.3 Application Scenarios
  • 1.3.1 Mobility Scenario
  • 1.3.2 Environmental Scenario
  • 1.4 Overarching Vision
  • 1.4.1 Smart Cities
  • 1.4.2 Characteristics
  • 1.5 State of the Art
  • 1.5.1 Hardware Technologies
  • 1.5.2 Communication Middleware
  • 1.5.3 Context Management
  • 1.5.4 Sensing Applications
  • 1.6 Innovations
  • 2 Architecture
  • 2.1 Static Perspective
  • 2.1.1 Operational View
  • 2.1.2 Component View
  • 2.1.3 Data View
  • 2.2 Dynamic Perspective
  • 2.2.1 Acquisition View
  • 2.2.2 Processing View
  • 2.2.3 Inference View
  • 2.3 Interface Perspective
  • 2.3.1 Storage Interfaces
  • 2.3.2 Query Interfaces
  • 2.3.3 Privacy Interfaces
  • 2.3.4 Control Interfaces
  • 3 Data Acquisition
  • 3.1 Focus and Contribution
  • 3.1.1 Data Acquisition Frameworks
  • 3.1.2 Rapid Prototyping Tools
  • 3.1.3 Application-Specific Acquisition
  • 3.1.4 Contribution
  • 3.2 Data Acquisition Framework
  • 3.2.1 Component System
  • 3.2.2 Activation System
  • 3.3 Data Acquisition Components
  • 3.3.1 Context Recognition
  • 3.3.2 Intent Recognition
  • 4 Data Processing
  • 4.1 Focus and Contribution
  • 4.1.1 Data Representation
  • 4.1.2 Query Processing
  • 4.1.3 Contribution
  • 4.2 Data Model
  • 4.2.1 Data Definition
  • 4.2.2 Query Specification
  • 4.3 Data Discovery
  • 4.3.1 Architecture
  • 4.3.2 Metadata Management
  • 4.3.3 Querying Data Sources
  • 4.3.4 Security and Privacy
  • 4.3.5 Client-side Caching
  • 4.4 Data Processing
  • 4.4.1 Data Storage
  • 4.4.2 Query Processor
  • 5 Privacy Preservation
  • 5.1 Focus and Contribution
  • 5.1.1 Trusted Computing Hardware
  • 5.1.2 Key Exchange and Derivation
  • 5.1.3 Obfuscation and Generalization
  • 5.1.4 Contribution
  • 5.2 Privacy Framework.
  • 5.2.1 Overview
  • 5.2.2 Mechanisms
  • 5.3 Privacy Policy
  • 5.3.1 Automatic Generation
  • 5.3.2 Manual Fine-Tuning
  • 5.4 Privacy Integration
  • 5.4.1 Data Transfer
  • 5.4.2 Data Acquisition
  • 5.4.3 Data Processing
  • 6 Applications
  • 6.1 Application Development Support
  • 6.1.1 Overview
  • 6.1.2 J2SE Support
  • 6.1.3 Android Support
  • 6.1.4 Application Examples
  • 6.2 Application Architecture
  • 6.2.1 Mobility Scenario
  • 6.2.2 Environmental Scenario
  • 6.3 Application Components
  • 6.3.1 Application Services
  • 6.3.2 Sensing Applications
  • 6.3.3 End-user Applications
  • 6.3.4 Operator Applications
  • 6.4 Application Evaluation
  • 7 Conclusion
  • Bibliography
  • Index
  • About the Authors.

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