Predicting Resource Use with Case-Based Plan Recognition

Jung-Jin Lee, Robert McCartney

When managing a computing system, it is better to predict problems before they occur, rather than just observing them when they occur. Our research develops self-interested agents designed for the prediction of resource usages, that is, assessing the likelihood of upcoming demands by users on the limited resources and detecting potential problems from the observations of human-computer interactions (Etzioni and Weld 1994). Furthermore, these agents will have behavior that changes over time based on their own experiences, which will improve their predictive ability and allow them to adapt to changing usage patterns.


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