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

1 June 2007

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 12
https://doi.org/10.1109/icac.2007.7

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

Keywords

VIRTUAL MANUFACTURING
PROTOTYPES
PERFORMANCE ANALYSIS
VIRTUAL MACHINE MONITORS
VIRTUAL MACHINING
RESOURCE MANAGEMENT
DATABASES
COSTS
VIRTUAL PROTOTYPING
CONDITION MONITORING

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