Beyond objects: a software design paradigm based on process control
ACM SIGSOFT Software Engineering Notes
Towards architecture-based self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
Model-based adaptation for self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
An Architecture-Based Approach to Self-Adaptive Software
IEEE Intelligent Systems
The Vision of Autonomic Computing
Computer
A Meta-Model for the Analysis and Design of Organizations in Multi-Agent Systems
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
An Architectural Approach to Autonomic Computing
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Self-healing systems - survey and synthesis
Decision Support Systems
Self-Managed Systems: an Architectural Challenge
FOSE '07 2007 Future of Software Engineering
Managing Agent Interactions with Context-Driven Dynamic Organizations
Engineering Environment-Mediated Multi-Agent Systems
The agent environment in multi-agent systems: A middleware perspective
Multiagent and Grid Systems - Engineering Environments in Multiagent Systems
Towards an aspect-oriented architecture for self-adaptive frameworks
Proceedings of the 2008 AOSD workshop on Aspects, components, and patterns for infrastructure software
Stitch: A language for architecture-based self-adaptation
Journal of Systems and Software
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Self-management is considered as one of the crucial means for software systems to deal with changing demands at runtime. Self-management endows a software systems with the ability to adapt its structure or behavior without human intervention. Two different approaches are put forward for self-management: (1) the system components adapt their structure or behavior to changing requirements and cooperatively realize system adaptation - this approach can be considered as endogenous self-management; (2) the system is adapted through a control loop, i.e. the system is monitored to maintain an explicit representation of the system and based on a set of high-level objectives, the system structure or its behavior is adapted - this approach can be considered as exogenous self-management. In this paper, we introduce a hybrid software architecture that combines both approaches. A multi-agent system architecture allows agents to flexibly adapt their behavior to changes in their context providing cooperative system adaptation. Then, we extend the multi-agent system architecture with a decentralized control loop adding self-healing properties to the system. We use intelligent monitoring of traffic jams as an illustrative case.