Autonomic Computing, International Conference on (2007)
Jacksonville, Florida, USA
June 11, 2007 to June 15, 2007
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAC.2007.8
Dara Kusic , Drexel University, USA
Nagarajan Kandasamy , Drexel University, USA
Guofei Jiang , NEC Laboratories America, USA
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.
N. Kandasamy, D. Kusic and G. Jiang, "Approximation Modeling for the Online Performance Management of Distributed Computing Systems," 2007 International Conference on Autonomic Computing(ICAC), Jacksonville, FL, 2007, pp. 23.