Adaptive Middleware for the Internet of Things
eBook - ePub

Adaptive Middleware for the Internet of Things

The GAMBAS Approach

  1. 242 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Adaptive Middleware for the Internet of Things

The GAMBAS Approach

About this book

Over the past years, a considerable amount of effort has been devoted, both in industry and academia, towards the development of basic technology as well as innovative applications for the Internet of Things. 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 their users. Technical topics discussed in the book include: Behavior-driven Autonomous ServicesGAMBAS Middleware ArchitectureGeneric and Efficient Data AcquisitionInteroperable and Scalable Data ProcessingAutomated Privacy PreservationAdaptive Middleware for the Internet of Things summarizes the results of the GAMBAS research project funded by the European Commission under Framework Programme 7. It provides an in-depth description of the middleware system developed by the project consortium. In addition, the book describes several innovative mobility and monitoring applications that have been built, deployed and operated to evaluate the middleware under realistic conditions with a large number of users. Adaptive Middleware for the Internet of Things is ideal for personnel in the computer and communication industries as well as academic staff and research students in computer science interested in the development of systems and applications for the Internet of Things.

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Yes, you can access Adaptive Middleware for the Internet of Things by Marcus Handte,Pedro José Marrón,Gregor Schiele,Matoses Manuel Serrano in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Energy. We have over one million books available in our catalogue for you to explore.

Information

Year
2022
Print ISBN
9788793519787
eBook ISBN
9781000791815
Edition
1
Subtopic
Energy

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. List of Figures
  9. List of Abbreviations
  10. 1 Introduction
  11. 2 Architecture
  12. 3 Data Acquisition
  13. 4 Data Processing
  14. 5 Privacy Preservation
  15. 6 Applications
  16. 7 Conclusion
  17. Bibliography
  18. Index
  19. About the Authors