Research Article
Bridging context management systems for different types of pervasive computing environments
@INPROCEEDINGS{10.4108/ICST.MOBILWARE2008.2859, author={Cristian Hesselman and Hartmut Benz and Pravin Pawar and Fei Liu and Maarten Wegdam and Martin Wibbels and Tom Broens and Jacco Brok}, title={Bridging context management systems for different types of pervasive computing environments}, proceedings={1st International ICST Conference on Mobile Wireless Middleware, Operating Systems and Applications}, publisher={ICST}, proceedings_a={MOBILWARE}, year={2010}, month={5}, keywords={Context management bridging interoperability}, doi={10.4108/ICST.MOBILWARE2008.2859} }
- Cristian Hesselman
Hartmut Benz
Pravin Pawar
Fei Liu
Maarten Wegdam
Martin Wibbels
Tom Broens
Jacco Brok
Year: 2010
Bridging context management systems for different types of pervasive computing environments
MOBILWARE
ICST
DOI: 10.4108/ICST.MOBILWARE2008.2859
Abstract
A context management system is a distributed system that enables applications to obtain context information about (mobile) users and forms a key component of any pervasive computing environment. Context management systems are however very environment-specific (e.g., specific for home environments) and therefore do not interoperate very well. This limits the operation of context-aware applications because they cannot get context information on users that reside in an environment served by a context management system that is of a different type than the one used by the application. This is particularly important for mobile users, whose context information is typically available through different types of context management systems as they move across different environments. In this paper, we address this interoperability problem by placing bridges between different types of context management systems, in particular systems for home, mobile, and ad-hoc environments. The novelty of our bridges is that they focus on resolving functional differences between context management systems, whereas prior work in this area concentrates on resolving differences in data models. We discuss our bridging architecture and zoom in on a few selected bridges, focusing on their context discovery and exchange functions. We also outline how we implemented these bridges.