The Autonomic Computing Paradigm
Cluster Computing
A Flexible and Dynamic CSP Solver for Web Service Composition in the Semantic Web Environment
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Modelling and Solving QoS Composition Problem Using Fuzzy DisCSP
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Dynamic Software Product Lines
Computer
Technical, Commercial and Regulatory Challenges of QoS: An Internet Service Model Perspective
Technical, Commercial and Regulatory Challenges of QoS: An Internet Service Model Perspective
DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
FUSION: a framework for engineering self-tuning self-adaptive software systems
Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
Using constraint programming to verify DOPLER variability models
Proceedings of the 5th Workshop on Variability Modeling of Software-Intensive Systems
A component-based middleware platform for reconfigurable service-oriented architectures
Software—Practice & Experience
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Self-adaptation is one of the upcoming paradigms that accurately tackles nowadays systems complexity. In this context, Dynamic Software Product Lines model the intrinsic variability of a family of systems, and dynamically support their reconfiguration according to updated context. However, when several configurations are available for the same context, making a decision about the right one is a hard challenge: further dimensions such as QoS are needed to enrich the decision making process. In this paper, we propose to combine variability with Constraint-Satisfaction Problem techniques to face this challenge. The approach is illustrated and validated with a context-driven system used to support the control of a home through mobile devices.