Information and control in gray-box systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Hysteresis, Avalanches, and Noise
Computing in Science and Engineering
Bidding Algorithms for Simultaneous Auctions: A Case Study
Autonomous Agents and Multi-Agent Systems
A Real-Time Negotiation Model and A Multi-Agent Sensor Network Implementation
Autonomous Agents and Multi-Agent Systems
An adaptive middleware framework for context-aware applications
Personal and Ubiquitous Computing
Hierarchical multi-agent reinforcement learning
Autonomous Agents and Multi-Agent Systems
Topic: Designing the Future Internet
AINA '07 Proceedings of the 21st International Conference on Advanced Networking and Applications
Exploring selfish reinforcement learning in repeated games with stochastic rewards
Autonomous Agents and Multi-Agent Systems
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Monitoring Autonomic Networks through Signatures of Emergence
EASE '09 Proceedings of the 2009 Sixth IEEE Conference and Workshops on Engineering of Autonomic and Autonomous Systems
From Bayesian Decision-Makers to Bayesian Agents
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
Cognitive networks: adaptation and learning to achieve end-to-end performance objectives
IEEE Communications Magazine
OverMesh: network-centric computing [Accepted from Open Call]
IEEE Communications Magazine
| Hi-index | 0.00 |
Autonomic self-configuration is an essential mechanism underpinning agile service provision, allowing predictive or non-predictive grey system domains to transform their underlying system behaviour. However, much more work is required to improve our understanding of the control plane algorithms for these systems to prevent challenging autonomic system properties from impacting service provisioning. Current research focuses upon three key 'planes'; the knowledge plane, the control plane, and the data plane. This work proposes and presents a prototype for an autonomic self-configuration control framework, comprising of a Control Plane Control Protocol, and optional algorithmic overlay. The framework bridges the three networking planes, with the knowledge plane governance selecting the required configuration data, and the control plane controlling the negotiation and dissemination of the payload, through a generic control protocol, and an optional control plane overlay. The new framework can form part of a protective system infrastructure. A novel aspect of this framework is that it can address challenging autonomic properties through the control plan overlay. By autonomically controlling how a networked appliance responds to an external stimulus; a permanent or transitory change may ensue or self-configuration can be prevented. These framework attributes are evaluated using a prototype to demonstrate algorithms assessing actor hybridization and blocking avalanches of changes that may result in unrestrained, rapid actor hybridization.