Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows

Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows

Scientific computing heavily relies on data shared by the community, especially in distributed data-intensive applications. This research focuses on predicting slow connections that create bottlenecks in distributed workflows. In this study, we analyze network traffic logs collected between January...

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Bibliographic Details
Main Authors: Robin Shao, Alex Sim, Kesheng Wu, Jinoh Kim
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
network transfer
slow connection
prediction
machine learning
scientific computing
Online Access:https://www.mdpi.com/1424-8220/23/12/5485

Internet

https://www.mdpi.com/1424-8220/23/12/5485

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