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Descripción
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| Nowadays many applications require to analyse the continuous flow of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where the cost of accessing memory from a core depends on how CPUs are interconnected. This paper presents UPM-CEP, a data streaming engine designed to take advantage of NUMA architectures. The preliminary evaluation using Intel HiBench benchmark shows that NUMA aware deployment improves performance. | |
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Internacional
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No |
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Nombre congreso
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9th International Conference on Cloud Computing and Services Science |
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Tipo de participación
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960 |
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Lugar del congreso
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Heraclio, Creta, Grecia |
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Revisores
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Si |
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ISBN o ISSN
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978-989-758-365-0 |
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DOI
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Fecha inicio congreso
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02/05/2019 |
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Fecha fin congreso
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04/05/2019 |
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Desde la página
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672 |
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Hasta la página
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678 |
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Título de las actas
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Proceedings of the 8th International Conference on Data Science, Technology and Applications |