[Zurück]

S. Sehic, S. Nastic, M. Vögler, F. Li, S. Dustdar:
"Entity-Adaptation: A Programming Model for Development of Context-Aware Applications";
Vortrag: 29th Annual ACM Symposium on Applied Computing, SAC 2014, Mobile Computing and Applications Track, Gyeongju, Republic of Korea; 24.03.2014 - 28.03.2014; in: "Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014", Y. Cho, S. Shin, S. Kim, C. Hung, J. Hong (Hrg.); ACM, (2014), ISBN: 978-1-4503-2469-4; S. 436 - 443.

In recent years, new business and research opportunities have increasingly emerged in the field of large-scale pervasive platforms
(e.g., building management systems, pervasive health-care, environmental monitoring). These platforms are characterized by the
need to monitor and control a large number of heterogeneous environments with significantly different capabilities and utilize many distributed context sources and actions. Hence, they require additional support in terms of programming models and abstractions
that can assist with the development of context-aware applications
as generic and reusable components. Previous research studies in
context-aware systems have proposed many different programming
models, but none of them are enough to support the development
of truly reusable applications.
In this paper, we introduce the Entity-Adaptation programming model as a novel approach for the development of context-aware applications. The benefit of the Entity-Adaptation model is that it
decouples context-aware applications from the underlying physical
environments and allows them to be implemented as generic and
reusable components. We additionally present the design and implementation of the CAPA framework, which provides support for
deployment and execution of context-aware applications developed
with the Entity-Adaptation programming model. Finally, we evaluate
the solution using a case study that demonstrates effectiveness
of the approach in a real-world scenario.

Context-awareness, programming model, framework, pervasive systems, mobile computing

http://dx.doi.org/10.1145/2554850.2555015

Projektleitung Schahram Dustdar:
Cloud computing research lab