CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval
The CACHERPframework leverages the relative object popularity as the sole parameter for dynamic cache size tuning. In the process it consistently maintains the prescribed cache hit ratio on the fly by deriving the popularity ratio from the current statistics. As a result the accuracy of the statisti...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer-Verlag
2006
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/14475 |
| _version_ | 1848748632607555584 |
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| author | Wu, R. Wong, A. Dillon, Tharam S. |
| author_facet | Wu, R. Wong, A. Dillon, Tharam S. |
| author_sort | Wu, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The CACHERPframework leverages the relative object popularity as the sole parameter for dynamic cache size tuning. In the process it consistently maintains the prescribed cache hit ratio on the fly by deriving the popularity ratio from the current statistics. As a result the accuracy of the statistical CACHERPoperation is independent of changes in the Internet traffic pattern that may switch suddenly. The contribution by the novel CACHERPframework is that by adaptively maintaining the given hit ratio it effectively reduces the end-to-end information retrieval roundtrip time (RTT) and frees more bandwidth for sharing. This bandwidth would otherwise be consumed in transferring large amounts of data from remote data sources to the proxy server before it is given to the client or requestor. |
| first_indexed | 2025-11-14T07:08:08Z |
| format | Journal Article |
| id | curtin-20.500.11937-14475 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:08:08Z |
| publishDate | 2006 |
| publisher | Springer-Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-144752018-03-29T09:06:10Z CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval Wu, R. Wong, A. Dillon, Tharam S. Information retrieval Statistical Popularity ratio Dynamic cache size tuning Point-estimate Internet The CACHERPframework leverages the relative object popularity as the sole parameter for dynamic cache size tuning. In the process it consistently maintains the prescribed cache hit ratio on the fly by deriving the popularity ratio from the current statistics. As a result the accuracy of the statistical CACHERPoperation is independent of changes in the Internet traffic pattern that may switch suddenly. The contribution by the novel CACHERPframework is that by adaptively maintaining the given hit ratio it effectively reduces the end-to-end information retrieval roundtrip time (RTT) and frees more bandwidth for sharing. This bandwidth would otherwise be consumed in transferring large amounts of data from remote data sources to the proxy server before it is given to the client or requestor. 2006 Journal Article http://hdl.handle.net/20.500.11937/14475 10.1007/s11227-006-8298-x Springer-Verlag restricted |
| spellingShingle | Information retrieval Statistical Popularity ratio Dynamic cache size tuning Point-estimate Internet Wu, R. Wong, A. Dillon, Tharam S. CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval |
| title | CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval |
| title_full | CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval |
| title_fullStr | CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval |
| title_full_unstemmed | CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval |
| title_short | CACHERP: A novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval |
| title_sort | cacherp: a novel dynamic cache size tuning model working with relative object popularity for fast web information retrieval |
| topic | Information retrieval Statistical Popularity ratio Dynamic cache size tuning Point-estimate Internet |
| url | http://hdl.handle.net/20.500.11937/14475 |