Data-driven web applications are usually structured in three tiers with different programming models at each tier. This division forces developers to manually partition application functionality across the tiers, resulting in complex logic, suboptimal partitioning, and expensive re-partitioning of applications. This paper introduces a unified platform for automatic partitioning of data-driven web applications. The authors approach is based on Hilda, a high-level declarative programming language with a unified data and programming model for all the layers of the application. Based on run time properties of the application, Hilda's run time system automatically partitions the application between the tiers to improve response time while adhering to memory and/or processing constraints at the clients.
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