Understanding and Using Context
Personal and Ubiquitous Computing
Towards a Theory of Context Spaces
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Autonomous Adaptation to Dynamic Availability Using a Service-Oriented Component Model
Proceedings of the 26th International Conference on Software Engineering
Computer
Research challenges of autonomic computing
Proceedings of the 27th international conference on Software engineering
Utility Functions in Autonomic Systems
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Using Architecture Models for Runtime Adaptability
IEEE Software
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
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
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A fundamental requirement for autonomic computing is to be able to automatically infer how human users react in similar contextual conditions. This paper examines the problem of autonomic reasoning for adapting context-aware applications in mobile and pervasive computing environments. In this type of systems, both the context and the adaptation possibilities must be modeled appropriately to enable the adaptation reasoning engine to infer decisions on which adaptations to perform. It is assumed that multiple cross-cutting concerns affect such decisions, and thus we introduce a multi-dimensional, utility-based model which attempts to simulate the user's reasoning mechanisms. The proposed model is applied to component-based mobile and pervasive applications, and is being evaluated through a detailed scenario. It is argued that the proposed model provides a novel and promising approach for designing context-aware, self-adaptive systems, in particular with respect to mapping the adaptive behavior to the system.