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

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4 Author(s)
Jian Zhang ; University of Florida, Gainesville, USA ; Mazin Yousif ; Robert Carpenter ; Renato J. Figueiredo

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 consideration application's resource consumption patterns, pricing schedules defined by the resource provider, and penalties associated with service-level agreement (SLA) violations.

Published in:

Fourth International Conference on Autonomic Computing (ICAC'07)

Date of Conference:

11-15 June 2007