A knowledge plane for the internet
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
A survey of autonomic communications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Dynamic estimation of CPU demand of web traffic
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Adaptive control of virtualized resources in utility computing environments
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
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
Dynamics of Resource Closure Operators
AIMS '09 Proceedings of the 3rd International Conference on Autonomous Infrastructure, Management and Security: Scalability of Networks and Services
Combining Learned and Highly-Reactive Management
MACE '09 Proceedings of the 4th IEEE International Workshop on Modelling Autonomic Communications Environments
On the combined behavior of autonomous resource management agents
AIMS'10 Proceedings of the Mechanisms for autonomous management of networks and services, and 4th international conference on Autonomous infrastructure, management and security
On Alternation and Information Sharing among Cooperating Autonomous Management Agents
UIC-ATC '10 Proceedings of the 2010 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
Utility driven elastic services
Proceedings of the 11th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
Service Middleware for Self-Managing Large-Scale Systems
IEEE Transactions on Network and Service Management
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We study the problem of information exchange between coordinated autonomous resource management agents. We limit information to that which can be directly observed by each agent. While exchanging all relevant observables leads to near optimal management, leaving out information leads to "hidden variable" problems that affect only part of the overall behavior. The patterns observed for hidden variables in simulation predict what will happen in a realistic situation when not all information is interchanged. Through simulation, we observe that leaving out information results in non-optimal behavior of the resource management model when resource needs are decreasing, although the partial information model performs very well when resource needs are increasing.