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dc.contributor.authorFan Yangen_US
dc.contributor.authorNitin Gupta
dc.contributor.authorNicholas Gerner
dc.contributor.authorXin Qi
dc.contributor.authorAlan Demers
dc.contributor.authorJohannes Gehrke
dc.description.abstractData-driven web applications are structured into 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. In this paper, we introduce a unified platform for automatic partitioning of data-driven web applications. Our 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 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 development overhead.en_US
dc.format.extent426373 bytes
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleA Unified Platform for Data Driven Web Applictions with Automatic Client-Server Partitioningen_US
dc.typetechnical reporten_US

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