Feedback Control of Computing Systems
Feedback Control of Computing Systems
Self-Managed Systems: an Architectural Challenge
FOSE '07 2007 Future of Software Engineering
Visibility of control in adaptive systems
Proceedings of the 2nd international workshop on Ultra-large-scale software-intensive systems
Engineering Self-Adaptive Systems through Feedback Loops
Software Engineering for Self-Adaptive Systems
Evaluating the effectiveness of the Rainbow self-adaptive system
SEAMS '09 Proceedings of the 2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems
A framework for evaluating quality-driven self-adaptive software systems
Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
QoS contract-aware reconfiguration of component architectures using e-graphs
FACS'10 Proceedings of the 7th international conference on Formal Aspects of Component Software
A component-based middleware platform for reconfigurable service-oriented architectures
Software—Practice & Experience
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Self-adaptation mechanisms modify target systems dynamically to address adaptation goals, which may evolve continuously due to changes in system requirements. These changes affect values and thresholds of observed context variables and monitoring logic, or imply the addition and/or deletion of context variables, thus compromising self-adaptivity effectiveness under static monitoring infrastructures. Nevertheless, self-adaptation approaches often focus on adapting target systems only rather than monitoring infrastructures. Previously, we proposed DYNAMICO, a reference model for self-adaptive systems where adaptation goals and monitoring requirements change dynamically. This paper presents an implementation of DYNAMICO comprising our SMARTERCONTEXT monitoring infrastructure and QOS-CARE adaptation framework in a self-adaptation solution that maintains its context-awareness relevance. To evaluate our reference model we use self-adaptive system properties and the Znn.com exemplar to compare the Rainbow system with our DYNAMICO implementation. The results of the evaluation demonstrate the applicability, feasibility, and effectiveness of DYNAMICO, especially for self-adaptive systems with context-awareness requirements.