Window aggregate sharing for out-of-order stream processing
Manifestación
- Autores
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- Autor: Rodríguez Cuéllar, Alejandro
- Identificador
- 850223
- Fecha de publicación
- 2016
- Forma obra
- Tesis
- Lugar de producción
- 2016
- Idioma
- inglés
- Nota de edición
- Digitalización realizada por la Biblioteca Virtual del Banco de la República (Colombia)
- Materias
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- Tecnología; Tecnología / Ingeniería y operaciones afines
- Notas
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- Colfuturo
- Streaming; Aggregate sharing; Out-of-order stream processing; Windowing; Google dataflow; Cutty
- This thesis proposes a novel window aggregate sharing approach for out-of-order stream processing. We combined together the best of two worlds: the Google dataflow model for out-of-order stream processing and the Cutty aggregate sharing strategy. To our knowledge, our solution is the only aggregate sharing strategy for out-of-order stream processing that supports sliding, tumbling and session windows.
Based on the experiments with the real world dataset DEBS12 [28] and a 3% out-of-order level, our solution has 1.24 higher throughput than the current implementation in Flink. Moreover, we show that the throughput of our solution becomes higher, as the out-of-order level increases. - © Derechos reservados del autor
- Enlace permanente
- https://www.cervantesvirtual.com/obra/window-aggregate-sharing-for-out-of-order-stream-processing-850223
- Enlaces