A Workload-Driven Unit of Cache Replacement for Mid-Tier Database Caching

Making multi-terabyte scientific databases publicly accessible over the Internet is increasingly important in disciplines such as Biology and Astronomy. However, contention at a centralized, backend database is a major performance bottleneck, limiting the scalability of Internet-based, database applications. Midtier caching reduces contention at the backend database by distributing database operationstothecache.Toimprovetheperformanceofmid-tiercaches,wepropose the caching of query prototypes, a workload-driven unit of cache replacement in which the cache object is chosen from various classes of queries in the workload. In existing mid-tier caching systems, the storage organization in the cache is statically defined. Our approach adapts cache storage to workload changes, requires no prior knowledge about the workload, and is transparent to the application. Experiments

• Type: Conference
• Year: 2007
• Where: DASFAA
• Authors: Xiaodan Wang, Tanu Malik, Randal C. Burns, Stratos Papadomanolakis, Anastassia Ailamaki
• Keywords: Backend Database, Cache, DASFAA 2007, Database