Proceedings of IEEE 9th International Conference on Data Engineering
DOI: 10.1109/icde.1993.344070
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A simple analysis of the LRU buffer policy and its relationship to buffer warm-up transient

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Cited by 18 publications
(29 citation statements)
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“…Therefore, it is important for the proposed models to capture the number of disk page accesses when a (typically, LRU) buffer is available. The behavior of LRU buffers in general database environments has been analyzed in Bhide et al [1993]. Subsequent work [Huang et al 1997;Leutenegger and Lopez 2000] that addresses the buffered performance of specific index structures is based on Bhide et al's [1993] findings that, after the buffer warmup period (i.e., all buffer pages have been loaded), the probability of locating a page in the buffer does not vary significantly.…”
Section: Introducing a Lru Buffermentioning
confidence: 99%
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“…Therefore, it is important for the proposed models to capture the number of disk page accesses when a (typically, LRU) buffer is available. The behavior of LRU buffers in general database environments has been analyzed in Bhide et al [1993]. Subsequent work [Huang et al 1997;Leutenegger and Lopez 2000] that addresses the buffered performance of specific index structures is based on Bhide et al's [1993] findings that, after the buffer warmup period (i.e., all buffer pages have been loaded), the probability of locating a page in the buffer does not vary significantly.…”
Section: Introducing a Lru Buffermentioning
confidence: 99%
“…According to Bhide et al [1993], the probability of (2) approximates the probability that the node is not accessed by any of the n q queries during the buffer warmup period. Since this probability is [1 − prob(s i , q)] n q for a level i node, the probability for the node to be loaded from the disk (to answer query q) is given by prob(s i , q) · (1 − prob(s i , q)) n q .…”
Section: Introducing a Lru Buffermentioning
confidence: 99%
“…Moreover, our analysis provides a cost model of a typical (non-uniform) workload using the so-called biased query model [22], which assumes that queries are more probable in high-density areas of the address space. Moreover, we have successfully extended our cost model to other distance join queries as buffer queries [9] and to the study of including buffering (LRU buffer model, [6]) in K-CPQ using R-trees, which theoretical results have been very similar to the experimental ones in terms of buffer hit probability and number of R-tree node accesses.…”
Section: Introductionmentioning
confidence: 74%
“…3a for d = 2. Note the likeness of V M 1 ÈM 2 with the expression of join index selectivity, see formula (6).…”
Section: Number Of Node Accesses For K-cpqmentioning
confidence: 99%
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