A unified platform for data driven web applictions with automatic client-server partitioning

Data-driven web applications are structured into three tiers with different programming models at each tier. This di-vision forces developers to manually partition application functionality across the tiers, resulting in complex logic, sub-optimal partitioning, and expensive re-partitioning of appli-cations. In this paper, we introduce a unified platform for auto-matic partitioning of data-driven web applications. Our ap-proach is based on Hilda [25, 13], a high-level declarative programming language with a unified data and program-ming model for all the layers of the application. Based on run-time properties of the application, Hilda’s run time sys-tem automatically partitions the application between the tiers to improve response time while adhering to memory or processing constraints at the clients. We evaluate our methodology with traces from a real application and with TPC-W, and our results show that automatic partitioning outperforms manual partitioning without the associated de-velopment overhead. 1