http://dl.gi.de/handle/20.500.12116/11564 2026-07-22T22:10:31Z http://dl.gi.de/handle/20.500.12116/11717 Unleashing XQuery for Data-Independent Programming Bächle, Sebastian; Sauer, Caetano The XQuery language was initially developed as an SQL equivalent for XML data, but its roots in functional programming make it also a perfect choice for processing almost any kind of structured and semi-structured data. Apart from standard XML processing, however, advanced language features make it hard to efficiently implement the complete language for large data volumes. This work proposes a novel compilation strategy that provides both flexibility and efficiency to unleash XQuery’s potential as data programming language. It combines the simplicity and versatility of a storage-independent data abstraction with the scalability advantages of set-oriented processing. Expensive iterative sections in a query are unrolled to a pipeline of relational-style operators, which is open for optimized join processing, index use, and parallelization. The remaining aspects of the language are processed in a standard fashion, yet can be compiled anytime to more efficient native operations of the actual runtime environment. This hybrid compilation mechanism yields an efficient and highly flexible query engine that is able to drive any computation from simple XML transformation to complex data analysis, even on non-XML data. Experiments with our prototype and state-of-the-art competitors in classic XML query processing and business analytics over relational data attest the generality and efficiency of the design. 2014-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/11709 Dissertationen 2014-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/11711 News 2014-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/11714 Database Backend as a Service: Automatic Generation, Deployment, and Management of Database Backends for Mobile Applications Gropengießer, Francis; Sattler, Kai-Uwe Managing data in the Cloud is a challenging task, especially scaling resources in order to prevent under- and over-provisioning. In this paper, we consider a specific domain of applications, namely mobile applications for events like conferences or festivals, where automatic managing and scaling the backend part of the application would be beneficial in terms of efficient resource utilization as well as a good end-user experience. In order to achieve this, we make the following contributions. We automate generation, deployment, operation, and management of the backend in an Infrastructure as a Service Cloud. Thereby, we address the fluctuating load characteristics of mobile applications for events by applying our monitoring and autoscaling framework based on data stream processing and complex event processing. 2014-01-01T00:00:00Z