Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Model-based adaptation for self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Protecting Free Expression Online with Freenet
IEEE Internet Computing
The K-Component Architecture Meta-model for Self-Adaptive Software
REFLECTION '01 Proceedings of the Third International Conference on Metalevel Architectures and Separation of Crosscutting Concerns
The ensemble system
Extending the Representational State Transfer (REST) Architectural Style for Decentralized Systems
Proceedings of the 26th International Conference on Software Engineering
Collaborative Reinforcement Learning of Autonomic Behaviour
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Toward self-organizing, self-repairing and resilient distributed systems
Future directions in distributed computing
Adaptive middleware for dynamic component-level deployment
ARM '05 Proceedings of the 4th workshop on Reflective and adaptive middleware systems
Self-adaptation of event-driven component-oriented middleware using aspects of assembly
Proceedings of the 5th international workshop on Middleware for pervasive and ad-hoc computing: held at the ACM/IFIP/USENIX 8th International Middleware Conference
Preventing conflict situations during authorization
WSEAS Transactions on Computers
Self-adaptive software: Landscape and research challenges
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Computer Languages, Systems and Structures
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
Sharing protected web resources using distributed role-based modeling
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Modeling and enforcing invariants of dynamic software architectures
Software and Systems Modeling (SoSyM)
Building Wireless Sensor Network Applications with LooCI
International Journal of Mobile Computing and Multimedia Communications
Component survivability at runtime for mission-critical distributed systems
The Journal of Supercomputing
| Hi-index | 0.00 |
Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual components learn to adapt to recover from faults in an uncertain environment? How can a decentralised system coordinate the adaptive behaviour of its components to realise system optimisation goals given problems establishing consensus in dynamic environments? This paper introduces a self-adaptive component model, called K-Components, that enables individual components adapt to a changing environment and a decentralised coordination model, called collaborative reinforcement learning, that enables groups of components to learn to collectively adapt their behaviour to establish and maintain system-wide properties in a changing environment.