Window aggregate sharing for out-of-order stream processing

Registro bibliográfico

  • Autor: Rodríguez Cuéllar, Alejandro
  • Título: Window aggregate sharing for out-of-order stream processing
  • 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
  • Materias:

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