The Pegasus workflow management system: translational computer science in practice
Translational research (TR) has been extensively used in the health science domain, where
results from laboratory research are translated to human studies and where evidence-based …
results from laboratory research are translated to human studies and where evidence-based …
Mining workflows for anomalous data transfers
Modern scientific workflows are data-driven and are often executed on distributed,
heterogeneous, high-performance computing infrastructures. Anomalies and failures in the …
heterogeneous, high-performance computing infrastructures. Anomalies and failures in the …
Graph neural networks for detecting anomalies in scientific workflows
Identifying and addressing anomalies in complex, distributed systems can be challenging for
reliable execution of scientific workflows. We model these workflows as directed acyclic …
reliable execution of scientific workflows. We model these workflows as directed acyclic …
Workflow anomaly detection with graph neural networks
Reliable execution of scientific workflows is a fundamental concern in computational
campaigns. Therefore, detecting and diagnosing anomalies are both important and …
campaigns. Therefore, detecting and diagnosing anomalies are both important and …
Learning mixed traffic signatures in shared networks
H Anvari, P Lu - Computational Science–ICCS 2020: 20th International …, 2020 - Springer
On shared, wide-area networks (WAN), it can be difficult to characterise the current traffic.
There can be different protocols in use, by multiple data streams, producing a mix of different …
There can be different protocols in use, by multiple data streams, producing a mix of different …
Network traffic performance analysis from passive measurements using gradient boosting machine learning
Effective monitoring and analysis of network traffic are vital for scientific computing, since
scientific applications often require moving massive data from one site to another. A body of …
scientific applications often require moving massive data from one site to another. A body of …
Mining Scientific Workflows for Anomalous Data Transfers
Modern scientific workflows are data-driven and are often executed on distributed,
heterogeneous, high-performance computing infrastructures. Anomalies and failures in the …
heterogeneous, high-performance computing infrastructures. Anomalies and failures in the …