Component software: beyond object-oriented programming
Component software: beyond object-oriented programming
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A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
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Computer
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ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Using Architecture Models for Runtime Adaptability
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Modeling of component-based adaptive distributed applications
Proceedings of the 2006 ACM symposium on Applied computing
An Approach for Developing Adaptive, Mobile Applications with Separation of Concerns
COMPSAC '06 Proceedings of the 30th Annual International Computer Software and Applications Conference - Volume 01
A Utility-Based Adaptivity Model for Mobile Applications
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Managing distributed adaptation of mobile applications
DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Experiences from developing a distributed context management system for enabling adaptivity
DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Distributed adaptation reasoning for a mobility and adaptation enabling middleware
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
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Because of the high potential of mobile and pervasive computing systems, there is an ongoing trend in developing applications exhibiting context awareness and adaptive behavior. While context awareness guarantees that the applications are aware of both their context and their own state, dynamic adaptivity enables them to react on their knowledge about it and optimize their offered services. However, because in pervasive computing environments there is also a need for enabling arbitrary synergies, such a behavior also requires appropriate algorithms implementing the adaptation logic required to reason on the sensed context and dynamically decide on the most appropriate adaptations. This paper discusses how utility function-based approaches can use context-awareness for that and, additionally, it shows how the decision-making process is improved with respect to both performance and resource consumption by using a more intelligent approach.