A Deliberative Model for Self-Adaptation Middleware Using Architectural Dependency
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Using Architecture Models for Runtime Adaptability
IEEE Software
The SATIN Component System-A Metamodel for Engineering Adaptable Mobile Systems
IEEE Transactions on Software Engineering
Concierge: a service platform for resource-constrained devices
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Experiences from Developing a Component Technology Agnostic Adaptation Framework
CBSE '08 Proceedings of the 11th International Symposium on Component-Based Software Engineering
R-OSGi: distributed applications through software modularization
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
Composing components and services using a planning-based adaptation middleware
SC'08 Proceedings of the 7th international conference on Software composition
Towards semantic-based adaptation decisions for context-aware mobile computing
Proceedings of the 2010 ACM Symposium on Applied Computing
CAMPUS: A middleware for automated context-aware adaptation decision making at run time
Pervasive and Mobile Computing
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With the continuous improvement of device capabilities, mobile applications are becoming not only context-aware, but also self-adaptive. This new trend of applications are capable of tuning their behavior depending on changes observed in the surrounding environment. However, these adaptations are often restrained by the static features of the supporting middleware, which is not able to exploit the opportunities offered by the environment in order to improve the quality of the adaptations. The MUSIC platform offers a modular support maximizing the user satisfaction by adapting dynamically mobile applications. Beyond this support, the MUSIC platform can itself be adapted towards the evolving environment (e.g., location, network connectivity) in order to satisfy both the user requirements and the device properties. In this paper, we focus on three complementary approaches for adapting the MUSIC platform, namely i) the distribution of the adaptation process among the neighboring devices, ii) the assignment of the devices responsibilities, and iii) the adaptation of the platform components. Thus, MUSIC leverages the adaptation of mobile applications by changing autonomously the middleware characteristics.