The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O cache da Web tornou-se um problema importante ao resolver problemas de desempenho em aplicativos da Web. O tempo de expiração do item de dados da Web é uma informação útil para aprimoramento de desempenho no cache da Web. Neste artigo, apresentamos a noção de probabilidade de referência efetiva que incorpora o efeito do tempo de expiração para cache da Web. Para uma abordagem formal, propomos o modelo de referência independente contínuo ampliando o existente modelo de referência independente. Com base neste modelo, definimos formalmente a probabilidade de referência efetiva e a derivamos teoricamente. Simplesmente substituindo a probabilidade de referência nos algoritmos de substituição de cache existentes pela probabilidade de referência efetiva, podemos levar em consideração o efeito do tempo de expiração. Os resultados dos experimentos de desempenho mostram que os algoritmos de substituição que usam a probabilidade de referência efetiva sempre superam os existentes. Em particular, quando a fração de cache é 0.05 e a atualização de dados é comparativamente frequente (ou seja, a frequência de atualização é superior a 1/10 da frequência de referência), o desempenho é melhorado em mais de 30% em LRU-2 e 13% em Método de Aggarwal. Os resultados mostram que a probabilidade de referência efetiva melhora significativamente o desempenho do cache da Web quando o tempo de expiração é fornecido.
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Jeong-Joon LEE, Kyu-Young WHANG, Yang-Sae MOON, Eui-Kyung HONG, "Effective Reference Probability Incorporating the Effect of Expiration Time in Web Cache" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 9, pp. 1184-1197, September 2001, doi: .
Abstract: Web caching has become an important problem when addressing the performance issues in Web applications. The expiration time of the Web data item is useful a piece of information for performance enhancement in Web caching. In this paper, we introduce the notion of the effective reference probability that incorporates the effect of expiration time for Web caching. For a formal approach, we propose the continuous independent reference model extending the existing independent reference model. Based on this model, we define formally the effective reference probability and derive it theoretically. By simply replacing the reference probability in the existing cache replacement algorithms with the effective reference probability, we can take the effect of expiration time into account. The results of performance experiments show that the replacement algorithms using the effective reference probability always outperform existing ones. In particular, when the cache fraction is 0.05 and data update is comparatively frequent (i.e., the update frequency is more than 1/10 of the reference frequency), the performance is enhanced by more than 30% in LRU-2 and 13% in Aggarwal's method. The results show that the effective reference probability significantly enhances the performance of Web caching when the expiration time is given.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_9_1184/_p
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@ARTICLE{e84-d_9_1184,
author={Jeong-Joon LEE, Kyu-Young WHANG, Yang-Sae MOON, Eui-Kyung HONG, },
journal={IEICE TRANSACTIONS on Information},
title={Effective Reference Probability Incorporating the Effect of Expiration Time in Web Cache},
year={2001},
volume={E84-D},
number={9},
pages={1184-1197},
abstract={Web caching has become an important problem when addressing the performance issues in Web applications. The expiration time of the Web data item is useful a piece of information for performance enhancement in Web caching. In this paper, we introduce the notion of the effective reference probability that incorporates the effect of expiration time for Web caching. For a formal approach, we propose the continuous independent reference model extending the existing independent reference model. Based on this model, we define formally the effective reference probability and derive it theoretically. By simply replacing the reference probability in the existing cache replacement algorithms with the effective reference probability, we can take the effect of expiration time into account. The results of performance experiments show that the replacement algorithms using the effective reference probability always outperform existing ones. In particular, when the cache fraction is 0.05 and data update is comparatively frequent (i.e., the update frequency is more than 1/10 of the reference frequency), the performance is enhanced by more than 30% in LRU-2 and 13% in Aggarwal's method. The results show that the effective reference probability significantly enhances the performance of Web caching when the expiration time is given.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Effective Reference Probability Incorporating the Effect of Expiration Time in Web Cache
T2 - IEICE TRANSACTIONS on Information
SP - 1184
EP - 1197
AU - Jeong-Joon LEE
AU - Kyu-Young WHANG
AU - Yang-Sae MOON
AU - Eui-Kyung HONG
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2001
AB - Web caching has become an important problem when addressing the performance issues in Web applications. The expiration time of the Web data item is useful a piece of information for performance enhancement in Web caching. In this paper, we introduce the notion of the effective reference probability that incorporates the effect of expiration time for Web caching. For a formal approach, we propose the continuous independent reference model extending the existing independent reference model. Based on this model, we define formally the effective reference probability and derive it theoretically. By simply replacing the reference probability in the existing cache replacement algorithms with the effective reference probability, we can take the effect of expiration time into account. The results of performance experiments show that the replacement algorithms using the effective reference probability always outperform existing ones. In particular, when the cache fraction is 0.05 and data update is comparatively frequent (i.e., the update frequency is more than 1/10 of the reference frequency), the performance is enhanced by more than 30% in LRU-2 and 13% in Aggarwal's method. The results show that the effective reference probability significantly enhances the performance of Web caching when the expiration time is given.
ER -