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Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning
Jacksonville, Florida, USA June 11-June 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAC.2007.7Fourth International Conference on Au ...
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Jian Zhang, Mazin Yousif, Robert Carpenter, Renato J. Figueiredo, "Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning," Autonomic Computing, International Conference on, pp. 12, Fourth International Conference on Autonomic Computing (ICAC'07), 2007.
 
 
BibTex
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@article{ 10.1109/ICAC.2007.7,
author = {Jian Zhang and Mazin Yousif and Robert Carpenter and Renato J. Figueiredo},
title = {Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning},
journal ={Autonomic Computing, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2779-5},
pages = {12},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICAC.2007.7},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Autonomic Computing, International Conference on
TI - Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning
SN - 0-7695-2779-5
SP
EP
A1 - Jian Zhang,
A1 - Mazin Yousif,
A1 - Robert Carpenter,
A1 - Renato J. Figueiredo,
PY - 2007
KW - null
VL - 0
JA - Autonomic Computing, International Conference on
ER -
 
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.
Citation:
Jian Zhang, Mazin Yousif, Robert Carpenter, Renato J. Figueiredo, "Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning," icac, pp.12, Fourth International Conference on Autonomic Computing (ICAC'07), 2007
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