Self-adjustment strategy for models used in autonomic transactional systems
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
A Distributed Control Approach for Autonomic Performance Management in Cloud Computing Environment
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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This paper develops a hierarchical control framework to solve performance management problems in distributed computing systems. To reduce the control overhead, concepts from approximation theory are used in the construction of the dynamical models that predict system behavior, and in the solution of the associated control equations themselves. Using a dynamic resource provisioning problem as a case study, we show that a computing system managed by the proposed control framework using approximation models realizes profit gains that are, in the best case, within 1% of a controller using an exact parametric model of the system.