George Papadimitriou

According to our database, George Papadimitriou authored at least 33 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Advancing Anomaly Detection in Computational Workflows with Active Learning.

Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman

CoRR, 2024

Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning.

Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman

Proceedings of the International Conference for High Performance Computing, 2024

Dynamic Tracking, MLOps, and Workflow Integration: Enabling Transparent Reproducibility in Machine Learning.

Hamza Safri, George Papadimitriou, Ewa Deelman

Proceedings of the 20th IEEE International Conference on e-Science, 2024

A Workflow Management System Approach To Federated Learning: Application to Industry 4.0.

Hamza Safri, George Papadimitriou, Frédéric Desprez, Ewa Deelman

Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

2023

Graph neural networks for detecting anomalies in scientific workflows.

Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash

Int. J. High Perform. Comput. Appl., July, 2023

FlyNet: Drones on the Horizon.

Alicia Esquivel Morel, Chengyi Qu, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman

IEEE Internet Comput., 2023

Self-supervised Learning for Anomaly Detection in Computational Workflows.

Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Ewa Deelman, Prasanna Balaprakash

CoRR, 2023

Flow-Bench: A Dataset for Computational Workflow Anomaly Detection.

George Papadimitriou, Hongwei Jin, Cong Wang, Krishnan Raghavan, Anirban Mandal, Prasanna Balaprakash, Ewa Deelman

CoRR, 2023

Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links.

Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Experiments on Network Services for Video Transmission using FABRIC Instrument Resources.

Alicia Esquivel Morel, Durbek Gafurov, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman

Proceedings of the IEEE INFOCOM 2023, 2023

Network Services Management using Programmable Data Planes for Visual Cloud Computing.

Alicia Esquivel Morel, Prasad Calyam, Chengyi Qu, Durbek Gafurov, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman

Proceedings of the International Conference on Computing, Networking and Communications, 2023

FlyPaw: Optimized Route Planning for Scientific UAVMissions.

Andrew Grote, Eric Lyons, Komal Thareja, George Papadimitriou, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Fair sharing of network resources among workflow ensembles.

George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal

Clust. Comput., 2022

Workflow Anomaly Detection with Graph Neural Networks.

Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash

Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus.

Ryan Tanaka, George Papadimitriou, Sai Charan Viswanath, Cong Wang, Eric Lyons, Komal Thareja, Chengyi Qu, Alicia Esquivel Morel, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

End-to-end online performance data capture and analysis for scientific workflows.

George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster

Future Gener. Comput. Syst., 2021

Mining Scientific Workflows for Anomalous Data Transfers.

Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies

CoRR, 2021

Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks.

Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

A Performance Characterization of Scientific Machine Learning Workflows.

Patrycja Krawczuk, George Papadimitriou, Ryan Tanaka, Tu Mai Anh Do, Srujana Subramanya, Shubham Nagarkar, Aditi Jain, Kelsie Lam, Anirban Mandal, Loïc Pottier, Ewa Deelman

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education.

Henri Casanova, Ewa Deelman, Sandra Gesing, Michael D. Hildreth, Stephen Hudson, William Koch, Jeffrey Larson, Mary Ann McDowell, Natalie Meyers, John-Luke Navarro, George Papadimitriou, Ryan Tanaka, Ian J. Taylor, Douglas Thain, Stefan M. Wild, Rosa Filgueira, Rafael Ferreira da Silva

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications.

Eric Lyons, Hakan Saplakoglu, Michael Zink, Komal Thareja, Anirban Mandal, Chengyi Qu, Songjie Wang, Prasad Calyam, George Papadimitriou, Ryan Tanaka, Ewa Deelman

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6, 2021

Mining Workflows for Anomalous Data Transfers.

Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing.

Eric Lyons, Dong-Jun Seo, Sunghee Kim, Hamideh Habibi, George Papadimitriou, Ryan Tanaka, Ewa Deelman, Michael Zink, Anirban Mandal

Proceedings of the 17th IEEE International Conference on eScience, 2021

2020

Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP.

Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman

Mach. Learn., 2020

Workflow Submit Nodes as a Service on Leadership Class Systems.

George Papadimitriou, Karan Vahi, Jason Kincl, Valentine Anantharaj, Ewa Deelman, Jack C. Wells

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Application Aware Software Defined Flows of Workflow Ensembles.

George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal

Proceedings of the IEEE/ACM Innovating the Network for Data-Intensive Science, 2020

Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques.

Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing.

Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, Paul Ruth

Proceedings of the Dynamic Data Driven Applications Systems, 2020

2019

Measuring the impact of burst buffers on data-intensive scientific workflows.

Rafael Ferreira da Silva, Scott Callaghan, Tu Mai Anh Do, George Papadimitriou, Ewa Deelman

Future Gener. Comput. Syst., 2019

The Evolution of the Pegasus Workflow Management Software.

Ewa Deelman, Karan Vahi, Mats Rynge, Rajiv Mayani, Rafael Ferreira da Silva, George Papadimitriou, Miron Livny

Comput. Sci. Eng., 2019

Training Classifiers to Identify TCP Signatures in Scientific Workflows.

George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman

Proceedings of the 2019 IEEE/ACM Innovating the Network for Data-Intensive Science, 2019

Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows.

Karan Vahi, Michael Zink, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons

Proceedings of the 15th International Conference on eScience, 2019

Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing.

Eric Lyons, Anirban Mandal, George Papadimitriou, Cong Wang, Komal Thareja, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink

Proceedings of the 15th International Conference on eScience, 2019