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Anticipatory Configuration
of Resource-aware Applications
Vahe Poladian,
João Sousa, Frank Padberg, Mary Shaw
To appear, The 7th International
Workshop on Economics-Driven Software Engineering Research, at ICSE 2005
Abstract
We propose an improved approach to dynamic configuration
of resource-aware applications. The new
anticipatory model of configuration
maximizes utility based on three inputs: user preferences, application
capability profiles, and resource availability. In this respect, the proposed model is
similar to a model of configuration described in ICSE
2004. However, the latter addressed
the dynamic nature of the problem by reacting
to changes (such as decrease in resource availability), and maximized the
utility in a point-wise manner. The
newly proposed anticipatory approach explicitly models the duration of the
task and leverages possible information about the future (such as stochastic resource
availability over the expected duration of the task).
We expect that the anticipatory model will improve
user’s utility, conserve scarce resources, and reduce the amount of
disruption to the user resulting from changes when compared to the reactive
model. However, the optimization
problem underlying the anticipatory model is computationally more difficult than
the problem underlying the reactive model.
We would like to investigate if the anticipatory approach is feasible
and efficient in practice while delivering the above-mentioned improvements. In this paper, we carefully state the model
of anticipatory configuration, highlight the sources of complexity in the problem,
propose an algorithm to the anticipatory configuration problem, and provide a
roadmap for research.
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