The Vision of Autonomic Computing
Computer
Research challenges of autonomic computing
Proceedings of the 27th international conference on Software engineering
Service-oriented device communications using the devices profile for web services
MPAC '05 Proceedings of the 3rd international workshop on Middleware for pervasive and ad-hoc computing
Autonomic Computing: Concepts, Infrastructure, and Applications / Editor(s): Manish Parashar and Salim Hariri
A semantic-driven auto-adaptive architecture for collaborative ubiquitous systems
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Congestion control in a reliable scalable message-oriented middleware
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
INCOS '10 Proceedings of the 2010 International Conference on Intelligent Networking and Collaborative Systems
M2M Communications: A Systems Approach
M2M Communications: A Systems Approach
Data & Knowledge Engineering
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The internet of things consists of a high amount of heterogeneous objects that are widely distributed and evolve frequently according to their context changes. Management of such a complex environment is costly in terms of time and money. Machine to Machine (M2M) networks will soon become virtually impossible to administer. Designing context aware autonomic system for M2M networks with capability of self-management is a challenge. This paper proposes an autonomic computing system based on standardized M2M architecture and composed of generic and extensible autonomic managers. Autonomic managers communicate with each other to enable self-management of application, service and communication layers based on knowledge models and reasoning rules. A smart metering use case is experimented to illustrate the proposed solution.