Diane L. Davison

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We propose a new framework for resource allocation based on concepts from microeconomics. Specifically, we address the difficult problem of managing resources in a multiple-query environment composed of queries with widely varying resource requirements. The central element of the framework is a resource broker that realizes a profit by "selling" resources(More)
In order to maximize system performance in environments with fluctuating memory contention, memory-intensive algorithms such as hash join must gracefully adapt to variations in available memory. Mixed workloads, creating fluctuations of erratic frequency and magnitude, make responsiveness to memory contention particularly important. Previous studies on(More)
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