Article
| Authors | Sonja Zaplata, Matthias Meiners, Winfried Lamersdorf |
| Title | Designing future-context-aware dynamic applications with structured context prediction |
| Published in | Software: Practice & Experience (SPE) |
| Publisher | John Wiley & Sons Online Library Hoboken, NJ, USA |
| Medium | Volume 2013 Number 43 |
| Date | September 2013 |
| Pages | 1185-1204 |
| Note | DOI: 10.1002/spe.1126 (online 13.10.2011) |
| Abstract | Middleware support for advanced pervasive applications includes dealing with heterogeneous systems and dynamic changes of execution environments. If applications are context-aware they are able to detect such changes at runtime and react to them accordingly. Furthermore, they can also proactively adapt to upcoming situations by making accurate assumptions about future contexts. However, the design of reusable middleware suppport for such future-context-aware applications is still challenging - since a supporting prediction system has to be both generic and, at the same time, as efficient and accurate as possible. This paper proposes a concept for the development of future-context-aware applications based on the novel approach of Structured Context Prediction (SCP). As a framework, this approach allows for integrating domain-specific knowledge and facilitates application, combination and implementation of suitable prediction methods. In addition, specific runtime mechanisms for distribution of knowledge and adaptation of prediction tasks are proposed which enable useful context predictions even for dynamic applications. The overall development process as well as practical experiments with the prototype framework are illustrated based on two use case scenarios demonstrating that both high accuracy as well as efficiency of future context predictions are achievable and even ad-hoc context predictions can be supported this way. |
| Document |  |
| Other formats | Din 1501 |
