On the latency-accuracy tradeoff in approximate MapReduce jobs
To ensure the scalability of big data analytics, approximate MapReduce platforms emerge to explicitly trade off accuracy for latency. A key step to determine optimal approximation levels is to capture the latency of big data jobs, which is long deemed challenging due to the complex dependency among...
Autores Principales: | Pérez, Juan F., Birke R., Chen L.Y. |
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Formato: | Objeto de conferencia (Conference Object) |
Lenguaje: | Inglés (English) |
Publicado: |
Institute of Electrical and Electronics Engineers Inc.
2017
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Materias: | |
Acceso en línea: | https://repository.urosario.edu.co/handle/10336/22862 https://doi.org/10.1109/INFOCOM.2017.8057038 |
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