Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning
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.2007.7
Jian Zhang , University of Florida, Gainesville, USA
Mazin Yousif , Intel Corporation, Hillsboro, USA
Robert Carpenter , Intel Corporation, Folsom, USA
Renato J. Figueiredo , University of Florida, Gainesville, USA
Profiling the execution phases of an application can lead to optimizing the utilization of the underlying resources. This is the thrust of this paper, which presents a novel system-level application resource demand phase analysis and prediction prototype to support on-demand resource provisioning. The phase profile learned from historical runs is used to classify and predict phase behavior using a set of algorithms based on clustering. The process takes into consid- eration application?s resource consumption patterns, pricing schedules defined by the resource provider, and penalties associated with Service-Level Agreement (SLA) violations.
R. Carpenter, M. Yousif, J. Zhang and R. J. Figueiredo, "Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning," 2007 International Conference on Autonomic Computing(ICAC), Jacksonville, FL, 2007, pp. 12.