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File popularity characterisation.

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File popularity characterisation. / Roadknight, Chris; Marshall, Ian W.; Vearer, Debbie.
In: ACM SIGMETRICS Performance Evaluation Review, Vol. 27, No. 4, 03.2000, p. 45-50.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Roadknight, C, Marshall, IW & Vearer, D 2000, 'File popularity characterisation.', ACM SIGMETRICS Performance Evaluation Review, vol. 27, no. 4, pp. 45-50. https://doi.org/10.1145/346000.346014

APA

Roadknight, C., Marshall, I. W., & Vearer, D. (2000). File popularity characterisation. ACM SIGMETRICS Performance Evaluation Review, 27(4), 45-50. https://doi.org/10.1145/346000.346014

Vancouver

Roadknight C, Marshall IW, Vearer D. File popularity characterisation. ACM SIGMETRICS Performance Evaluation Review. 2000 Mar;27(4):45-50. doi: 10.1145/346000.346014

Author

Roadknight, Chris ; Marshall, Ian W. ; Vearer, Debbie. / File popularity characterisation. In: ACM SIGMETRICS Performance Evaluation Review. 2000 ; Vol. 27, No. 4. pp. 45-50.

Bibtex

@article{f61bc29b355b4588b98a461ce3ca4eb7,
title = "File popularity characterisation.",
abstract = "A key determinant of the effectiveness of a web cache is the locality of the files requested. In the past this has been difficult to model, as locality appears to be cache specific. We show that locality can be characterised with a single parameter, which primarily varies with the topological position of the cache, and is largely independent of the culture of the cache users. Accurate cache models can therefore be built without any need to consider cultural effects that are hard to predict.",
keywords = "Measurement, Performance, Theory, file popularity, web caches",
author = "Chris Roadknight and Marshall, {Ian W.} and Debbie Vearer",
note = "{\textcopyright} ACM, 2000.This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM SIGMETRICS Performance Evaluation Review, {VOL27, ISSUE 4, (March 2000)} http://doi.acm.org/10.1145/346000.346014",
year = "2000",
month = mar,
doi = "10.1145/346000.346014",
language = "English",
volume = "27",
pages = "45--50",
journal = "ACM SIGMETRICS Performance Evaluation Review",
publisher = "Association for Computing Machinery (ACM)",
number = "4",

}

RIS

TY - JOUR

T1 - File popularity characterisation.

AU - Roadknight, Chris

AU - Marshall, Ian W.

AU - Vearer, Debbie

N1 - © ACM, 2000.This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM SIGMETRICS Performance Evaluation Review, {VOL27, ISSUE 4, (March 2000)} http://doi.acm.org/10.1145/346000.346014

PY - 2000/3

Y1 - 2000/3

N2 - A key determinant of the effectiveness of a web cache is the locality of the files requested. In the past this has been difficult to model, as locality appears to be cache specific. We show that locality can be characterised with a single parameter, which primarily varies with the topological position of the cache, and is largely independent of the culture of the cache users. Accurate cache models can therefore be built without any need to consider cultural effects that are hard to predict.

AB - A key determinant of the effectiveness of a web cache is the locality of the files requested. In the past this has been difficult to model, as locality appears to be cache specific. We show that locality can be characterised with a single parameter, which primarily varies with the topological position of the cache, and is largely independent of the culture of the cache users. Accurate cache models can therefore be built without any need to consider cultural effects that are hard to predict.

KW - Measurement

KW - Performance

KW - Theory

KW - file popularity

KW - web caches

U2 - 10.1145/346000.346014

DO - 10.1145/346000.346014

M3 - Journal article

VL - 27

SP - 45

EP - 50

JO - ACM SIGMETRICS Performance Evaluation Review

JF - ACM SIGMETRICS Performance Evaluation Review

IS - 4

ER -