Mashup: making serverless computing useful for hpc workflows via hybrid execution

RB Roy, T Patel, V Gadepally, D Tiwari - Proceedings of the 27th ACM …, 2022 - dl.acm.org
This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …

Mining workflows for anomalous data transfers

H Tu, G Papadimitriou, M Kiran, C Wang… - 2021 IEEE/ACM 18th …, 2021 - ieeexplore.ieee.org
Modern scientific workflows are data-driven and are often executed on distributed,
heterogeneous, high-performance computing infrastructures. Anomalies and failures in the …

Graph neural networks for detecting anomalies in scientific workflows

H Jin, K Raghavan, G Papadimitriou… - … Journal of High …, 2023 - journals.sagepub.com
Identifying and addressing anomalies in complex, distributed systems can be challenging for
reliable execution of scientific workflows. We model these workflows as directed acyclic …

Workflow anomaly detection with graph neural networks

H Jin, K Raghavan, G Papadimitriou… - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
Reliable execution of scientific workflows is a fundamental concern in computational
campaigns. Therefore, detecting and diagnosing anomalies are both important and …

[PDF][PDF] Mashup: Making Serverless Computing Useful for HPC Workflows via Hybrid Execution

R Basu Roy, T Patel, V Gadepally, D Tiwari - 2022 - dspace.mit.edu
This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …

Mining Scientific Workflows for Anomalous Data Transfers

H Tu, G Papadimitriou, M Kiran, C Wang… - arXiv preprint arXiv …, 2021 - arxiv.org
Modern scientific workflows are data-driven and are often executed on distributed,
heterogeneous, high-performance computing infrastructures. Anomalies and failures in the …