Application Resource Demand Phase Analysis and Prediction in Support of Dynamic Resource Provisioning

Authors:
Jian Zhang;Mazin Yousif;Robert Carpenter;Renato J. Figueiredo
Affiliations:
University of Florida, Gainesville, USA;Intel Corporation, Hillsboro, USA;Intel Corporation, Folsom, USA;University of Florida, Gainesville, USA
Venue:
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Year:
2007

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Abstract

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.