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Self-Tuning for Short-Term Memory Consumers

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Abstract

We present an approach to adequately consider short-term memory consumers when using self-tuning buffer techniques. For instance, sort operations often need (large) amounts of memory but only for a short time. Moreover, certain operators, e.g., joins, require (lots of) memory to produce results that are retrieved only once. Unfortunately, most traditional self-tuning techniques fail to observe those peaks, as they need to monitor a system for a while before tuning it, which is often too late.

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Authors and Affiliations

  1. Dept. of Computer Science, University of Kaiserslautern, Kaiserslautern, Germany

    Ludger C. Overbeck & Karsten Schmidt

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  1. Ludger C. Overbeck
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  2. Karsten Schmidt
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Correspondence to Karsten Schmidt.

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Overbeck, L.C., Schmidt, K. Self-Tuning for Short-Term Memory Consumers. Datenbank Spektrum 11, 37–41 (2011). https://doi.org/10.1007/s13222-011-0048-4

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  • DOI: https://doi.org/10.1007/s13222-011-0048-4

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