Please use this identifier to cite or link to this item: https://doi.org/10.1109/TKDE.2004.1264826
Title: Demand-Driven Caching in Multiuser Environment
Authors: Goh, S.-T. 
Ooi, B.C. 
Tan, K.-L. 
Keywords: Cache-on-demand
Predictive
Return on investment
Virtual cache
Issue Date: 2004
Source: Goh, 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
Abstract: In 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.
Source Title: IEEE Transactions on Knowledge and Data Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/38990
ISSN: 10414347
DOI: 10.1109/TKDE.2004.1264826
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