Experimental results show that, with appropriate data preprocessing, the proposed machine learning-based approach achieves 95% or higher prediction accuracy in ...
In this paper, we employ a machine learning-based approach to predict big data transfer performance in HPNs based on extensive performance measurements, which ...
This work employs machine learning algorithms to predict big data transfer performance based on extensive performance measurements collected over a span of ...
We then conduct an in-depth exploratory analysis of their impacts on application-level throughput, which provides insights into big data transfer performance ...
We employ machine learning algorithms to predict big data transfer performance based on extensive performance measurements collected in the past several years.
Conventional methods conduct performance prediction by fitting prior observed transfer history with predefined loss functions, without considering unobservable ...
We employ machine learning algorithms to predict big data transfer performance based on extensive performance measurements collected in the past several years ...
May 4, 2021 · We employ machine learning algorithms to predict big data transfer performance based on extensive performance measurements collected in the past ...
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Dive into the research topics of 'On Performance Prediction of Big Data Transfer in High-performance Networks'. Together they form a unique fingerprint. Sort by ...
Yun, D., et al., 2020. Performance prediction of big data transfer through experimental analysis and machine learning. In: Proc. IFIP Networking Conf. pp. 181– ...