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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 Services
GAMBAS Middleware Architecture
Generic and Efficient Data Acquisition
Interoperable and Scalable Data Processing
Automated Privacy Preservation
Adaptive 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.
Dr. Marcus Handte received a master's degree in computer science from the Georgia Institute of Technology in 2002 and his Diploma in Software Engineering from the University of Stuttgart in 2003. From August 2007 to October 2009 he was working as a full-time researcher at Fraunhofer IAIS, since then he is working at the University of Duisburg-Essen. In 2009 he received a PhD in computer science from the University of Stuttgart and in 2013 he received his postdoctoral lecture quali-cation from the University of Duisburg-Essen. His past research focused on middleware for adaptive and self-con-guring systems. From 2012 to 2015, he was responsible for the technical coordination of the research and development work within the GAMBAS project.