Please use this identifier to cite or link to this item: https://doi.org/10.1109/TKDE.2004.1264826
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dc.titleDemand-Driven Caching in Multiuser Environment
dc.contributor.authorGoh, S.-T.
dc.contributor.authorOoi, B.C.
dc.contributor.authorTan, K.-L.
dc.date.accessioned2013-07-04T07:31:28Z
dc.date.available2013-07-04T07:31:28Z
dc.date.issued2004
dc.identifier.citationGoh, S.-T., Ooi, B.C., Tan, K.-L. (2004). Demand-Driven Caching in Multiuser Environment. IEEE Transactions on Knowledge and Data Engineering 16 (1) : 112-124. ScholarBank@NUS Repository. https://doi.org/10.1109/TKDE.2004.1264826
dc.identifier.issn10414347
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/38990
dc.description.abstractIn this paper, we propose a novel demand-driven caching framework, called cache-on-demand (CoD). In CoD, intermediate/final answers of existing running queries are viewed as virtual caches that can be materialized if they are beneficial to incoming queries. Such an approach is essentially nonspeculative: the exact cost of investment and the return on investment are known, and the cache is certain to be reused! We address several issues for CoD to be realized. We also propose three optimizing strategies: Conform-CoD, Scramble-CoD, and Integrated-CoD. Conform-CoD and Scramble-CoD are based on a two-phase optimization framework, while Integrated-CoD operates in a single-phase framework. We conducted extensive performance study to evaluate the effectiveness of these algorithms. Our results show that all the CoD-based schemes can provide substantial performance improvement when compared with a predictive scheme and a no-caching scheme.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TKDE.2004.1264826
dc.sourceScopus
dc.subjectCache-on-demand
dc.subjectPredictive
dc.subjectReturn on investment
dc.subjectVirtual cache
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/TKDE.2004.1264826
dc.description.sourcetitleIEEE Transactions on Knowledge and Data Engineering
dc.description.volume16
dc.description.issue1
dc.description.page112-124
dc.description.codenITKEE
dc.identifier.isiut000187435500010
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