The Vision of Autonomic Computing
Computer
Feedback Control of Computing Systems
Feedback Control of Computing Systems
A smart hill-climbing algorithm for application server configuration
Proceedings of the 13th international conference on World Wide Web
Research challenges of autonomic computing
Proceedings of the 27th international conference on Software engineering
Adaptive control of virtualized resources in utility computing environments
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
A survey of autonomic computing—degrees, models, and applications
ACM Computing Surveys (CSUR)
A Knowledge Plane for Autonomic Context-Aware Wireless Mobile Ad Hoc Networks
MMNS '08 Proceedings of the 11th IFIP/IEEE international conference on Management of Multimedia and Mobile Networks and Services: Management of Converged Multimedia Networks and Services
Automated control of multiple virtualized resources
Proceedings of the 4th ACM European conference on Computer systems
Dynamics of Resource Closure Operators
AIMS '09 Proceedings of the 3rd International Conference on Autonomous Infrastructure, Management and Security: Scalability of Networks and Services
Management without (Detailed) Models
ATC '09 Proceedings of the 6th International Conference on Autonomic and Trusted Computing
Combining Learned and Highly-Reactive Management
MACE '09 Proceedings of the 4th IEEE International Workshop on Modelling Autonomic Communications Environments
On the effects of omitting information exchange between autonomous resource management agents
AIMS'13 Proceedings of the 7th IFIP WG 6.6 international conference on Autonomous Infrastructure, Management, and Security: emerging management mechanisms for the future internet - Volume 7943
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A central issue in autonomic management is how to coordinate several autonomic management processes, which is assumed to require significant knowledge exchange. This study investigates whether two autonomic control units, which control the same system, can achieve some level of self-coordination with minimal knowledge exchange between them. We present the results from simulations on a model of two autonomous resource controllers influencing the same system. Each of the controllers tries to balance system utility with the cost of resource usage, without the knowledge of the second controller. Simulations indicate that coordination of autonomic management processes is possible, as the system performs close to optimally with minimal knowledge exchange between the two resource controllers.