Issue No. 01 - January (2004 vol. 16)
Kian-Lee Tan , IEEE Computer Society
Beng Chin Ooi , IEEE
<p><b>Abstract</b>—In this paper, we propose a novel demand-driven caching framework, called <it>cache-on-demand</it> (CoD). In CoD, intermediate/final answers of existing running queries are viewed as <it>virtual</it> caches that can be materialized if they are beneficial to incoming queries. Such an approach is essentially <it>nonspeculative</it>: 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.</p>
Cache-on-demand, predictive, virtual cache, return on investment.
Kian-Lee Tan, Shen-Tat Goh, Beng Chin Ooi, "Demand-Driven Caching in Multiuser Environment", IEEE Transactions on Knowledge & Data Engineering, vol. 16, no. , pp. 112-124, January 2004, doi:10.1109/TKDE.2004.1264826