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To help improve the performance of database-centric cloud-based web applications, developers usually use caching frameworks to speed up database accesses. Such caching frameworks require extensive knowledge of the application to operate effectively. However, all too often developers have limited knowledge about the intricate details of their own application. Hence, most developers find configuring caching frameworks a challenging and time-consuming task that requires extensive and scattered code changes. Furthermore, developers may also need to frequently change such configurations to accommodate the ever changing workload.

In this paper, we propose CacheOptimizer, a lightweight approach that helps developers optimize the configuration of caching frameworks for web applications that are implemented using Hibernate. CacheOptimizer leverages readily-available web logs to create …