Window aggregate sharing for out-of-order stream processing

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Registro bibliográfico

• Título: Window aggregate sharing for out-of-order stream processing
• Autor: Rodríguez Cuéllar, Alejandro
• Publicación original: 2016
• Descripción física: PDF
• Nota general:
  • 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.
• Notas de reproducción original: Digitalización realizada por la Biblioteca Virtual del Banco de la República (Colombia)
• Notas:
  • Resumen: Streaming; Aggregate sharing; Out-of-order stream processing; Windowing; Google dataflow; Cutty
  • © Derechos reservados del autor
  • Colfuturo
• Forma/género: tesis
• Idioma: inglés
• Institución origen: Biblioteca Virtual del Banco de la República
• Encabezamiento de materia:
  • Tecnología; Tecnología / Ingeniería y operaciones afines