Resumen:
With the rise of Big Data technologies, distributed stream processing systems (SPS) have gained popularity in the last years. Among these systems Spark Streaming stands out as a particularly attractive option, with a growing adoption in the industry, so we will consider in particular some features of SPS in Spark Streaming. Maude is a high-performance logical framework where other systems can be easily specified and executed. In this paper we show how a Maude specification of Spark Streaming would allow developers to analyze and prove properties on their programs.
Descargas:
Este artículo tiene una licencia de uso CreativeCommons Reconocimiento (by)
Descarga el artículo haciendo click aquí.
Ver la referencia en formato Bibtex
@inproceedings{prole:2017:003,
title={{Towards a formal framework for analyzing stream processing systems in Maude (Trabajo en progreso)}},
author={Adri{\'a}n Riesco and Miguel Palomino and Narciso Mart{\'i}-Oliet},
url={http://hdl.handle.net/11705/PROLE/2017/003},
booktitle={PROLE2017},
year={2017},
publisher={SISTEDES},
crossref={prole2017lalaguna}
}
@proceedings{prole2017lalaguna,
title={{Actas de las XVII Jornadas de Programaci{\'o}n y Lenguajes (PROLE 2017)}},
editor={Dur{\'a}n, F.},
booktitle={PROLE2017},
year={2017},
publisher={SISTEDES}
}
Copiar al portapapeles |
Cerrar