Analysis of Caching and Replication Strategies for Web Applications

S. Sivasubramanian; G.E.O. Pierre; M.R. van Steen; Guervos M. Alonso

doi:10.1109/MIC.2007.3

Analysis of Caching and Replication Strategies for Web Applications

S. Sivasubramanian, G.E.O. Pierre, M.R. van Steen, Guervos M. Alonso

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Developers often use replication and caching mechanisms to enhance Web application performance. The authors present a qualitative and quantitative analysis of state-of-the art replication and caching techniques used to host Web applications. Their analysis shows that selecting the best mechanism depends heavily on data workload and requires a careful review of the application's characteristics. They also propose a technique for Web practitioners to compare different mechanisms' performance on their own. © 2007 IEEE.

Original language	English
Pages (from-to)	60-66
Journal	IEEE Internet Computing
Volume	11
Issue number	1
DOIs	https://doi.org/10.1109/MIC.2007.3
Publication status	Published - 2007

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steen2007.02

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title = "Analysis of Caching and Replication Strategies for Web Applications",

abstract = "Developers often use replication and caching mechanisms to enhance Web application performance. The authors present a qualitative and quantitative analysis of state-of-the art replication and caching techniques used to host Web applications. Their analysis shows that selecting the best mechanism depends heavily on data workload and requires a careful review of the application's characteristics. They also propose a technique for Web practitioners to compare different mechanisms' performance on their own. {\textcopyright} 2007 IEEE.",

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AU - Alonso, Guervos M.

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AB - Developers often use replication and caching mechanisms to enhance Web application performance. The authors present a qualitative and quantitative analysis of state-of-the art replication and caching techniques used to host Web applications. Their analysis shows that selecting the best mechanism depends heavily on data workload and requires a careful review of the application's characteristics. They also propose a technique for Web practitioners to compare different mechanisms' performance on their own. © 2007 IEEE.

U2 - 10.1109/MIC.2007.3

DO - 10.1109/MIC.2007.3

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EP - 66

JO - IEEE Internet Computing

JF - IEEE Internet Computing

SN - 1089-7801

IS - 1

ER -

Analysis of Caching and Replication Strategies for Web Applications

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