Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Conflicts in Policy-Based Distributed Systems Management
IEEE Transactions on Software Engineering
Towards usage control models: beyond traditional access control
SACMAT '02 Proceedings of the seventh ACM symposium on Access control models and technologies
Flexible Information Discovery in Decentralized Distributed Systems
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Achieving Self-Management via Utility Functions
IEEE Internet Computing
Clustering Analysis for the Management of Self-Monitoring Device Networks
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
Ranking the importance of alerts for problem determination in large computer systems
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Elicitation and utilization of application-level utility functions
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Automated control in cloud computing: challenges and opportunities
ACDC '09 Proceedings of the 1st workshop on Automated control for datacenters and clouds
Knowledge management for context-aware, policy-based ubiquitous computing systems
MUCS '09 Proceedings of the 6th international workshop on Managing ubiquitous communications and services
Design and evaluation of decentralized online clustering
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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Policies are a powerful means of expressing high-level, goal oriented parameters to manage the behavior of systems and users, and are thus valuable tools for autonomic management. However, the autonomic management of policies is in itself a challenging problem. Particularly, their applicability is typically limited in situations where management actions depend on dynamic system properties, which require adapting policy application thresholds and parameters without modifying absolute policy definition constraints. In this paper, we propose a novel policy definition framework that enables autonomic policy adaptation and proactive policy application, based on the online analysis and characterization of system operation and feedback events. Our approach is supported by a decentralized clustering mechanism and scalable distributed communication platform that together enable the online analysis of events and the efficient generation and enforcement of dynamic policies among distributed system components. We justify, with the evaluation of illustrative scenarios, the need for online data analysis for policy adaptation and the potential benefits of our approach.