PUBLICATIONS

Our Scientific Contributions

End-to-End Online Performance Data Capture and Analysis for Scientific Workflows
G. Papadimitriou, C. Wang, K. Vahi, R. Ferreira da Silva, A. Mandal, L. Zhengchun, R. Mayani, M. Rynge, M. Kiran, V. E. Lynch, R. Kettimuthu, E. Deelman, J. S. Vetter, and I. Foster

Future Generation Computer Systems, vol. 117, pp. 387-400, 2021.

Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques
C. Wang, G. Papadimitriou, M. Kiran, A. Mandal, and E. Deelman

2020 IEEE High Performance extreme Computing Conference (HPEC), pp. 1-7, 2020.

A Lightweight Method for Evaluating In Situ Workflow Efficiency
T. M. A. Do, L. Pottier, S. Caíno-Lores, R. Ferreira da Silva, M. A. Cuendet, H. Weinstein, T. Estrada, M. Taufer, and E. Deelman

Journal of Computational Science, 2020.

Modeling the Performance of Scientific Workflow Executions on HPC Platforms with Burst Buffers
L. Pottier, R. Ferreira da Silva, H. Casanova, and E. Deelman

2020 IEEE International Conference on Cluster Computing (CLUSTER), pp. 92–103, 2020.

Workflow Submit Nodes as a Service on Leadership Class Systems
G. Papadimitriou, K. Vahi, J. Kincl, V. Anantharaj, E. Deelman, and J. Wells

Proceedings of the Practice and Experience in Advanced Research Computing, 2020.

WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development
R. Ferreira da Silva, L. Pottier, T. Coleman, E. Deelman, and H. Casanova

2020 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), pp. 49–56, 2020.

Characterizing, Modeling, and Accurately Simulating Power and Energy Consumption of I/O-intensive Scientific Workflows
R. Ferreira da Silva, H. Casanova, A. Orgerie, R. Tanaka, E. Deelman, and F. Suter

Journal of Computational Science, to appear, 2020.

Detecting Anomalous Packets in Network Transfers: Investigations using PCA, Autoencoder and Isolation Forest in TCP
M. Kiran, C. Wang, G. Papadimitriou, A. Mandal, and E. Deelman

Machine Learning, to appear, 2020.

Gearing the DECam Analysis Pipeline for Multi-Messenger Astronomy using Pegasus Workflows
K. Vahi, D. Goldstein, G. Papadimitriou, P. Nugent, and E. Deelman

Astronomical Data Analysis Software and Systems (ADASS) XXIX, to appear, 2020.

The role of machine learning in scientific workflows
E. Deelman, A. Mandal, M. Jiang, and R. Sakellariou

The International Journal of High Performance Computing Applications, to appear, 2019.

Measuring the Impact of Burst Buffers on Data-Intensive Scientific Workflows
R. Ferreira da Silva, S. Callaghan, T. M. A. Do, G. Papadimitriou, and E. Deelman

Future Generation Computer Systems, vol. 101, pp. 208-220, 2019.

Using simple PID-inspired controllers for online resilient resource management of distributed scientific workflows
R. Ferreira da Silva, R. Filgueira, E. Deelman, E. Pairo-Castineira, I. M. Overton, M. Atkinson

Future Generation Computer Systems, vol. 95, pp. 615-628, 2019.

Accurately Simulating Energy Consumption of I/O-intensive Scientific Workflows
R. Ferreira da Silva, A-C. Orgerie, H. Casanova, R. Tanaka, E. Deelman, and F. Suter

2019 International Conference on Computational Science (ICCS), pp. 138-152, 2019.

Detecting Outliers in Network Transfers with Feature Extraction
M. Kiran, C. Wang, N. S. V. Rao, and A. Mandal

ICML Joint Workshop on Deep (or Machine) Learning for Safety-Critical Applications in Engineering, 2018

IoT-Hub: New IoT data-platform for Virtual Research Environments
R. Filgueira, R. Ferreira da Silva, E. Deelman, V. Christodoulou, and A. Krause

10th International Workshop on Science Gateways (IWSG 2018), 2018

On the Use of Burst Buffers for Accelerating Data-Intensive Scientific Workflows
R. Ferreira da Silva, S. Callaghan, and E. Deelman

12th Workshop on Workflows in Support of Large-Scale Science (WORKS'17), 2017

Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges
A. Mandal, P. Ruth, I. Baldin, R. Ferreira da Silva, and E. Deelman

First International Workshop on Workflow Science (WoWS 2017), 2017

Classifying elephant and nice flows in high performance networks
A. Chabbra, and M.Kiran

Innovating the Network for Data Intensive Science (INDIS'17), 2017

Distributed Workflows for Modeling Experimental Data
V. Lynch, J. B. Calvo, E. Deelman, R. Ferreira da Silva, M. Goswami, Y. Hui, E. Lingerfelt, and J. Vetter

IEEE Xplore, Nov. 2017

Durango: Scalable Synthetic Workload Generation for Extreme-Scale Application Performance Modeling and Simulation
C. D. Carothers, J. S. Meredith, M. P. Blanco, J. S. Vetter, M. Mubarak, J. LaPre, S. Moore

2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pp. 97-108, 2017

An automated analysis workflow for optimization of force-field parameters using neutron scattering data
V. E. Lynch, J. M. Borreguero, D. Bhowmik, P. Ganesh, B. G. Sumpter, T. E. Proffen, M. Goswami

J. Comp. Phys., 340(1), 128-137 (2017)

PANORAMA: An Approach to Performance Modeling and Diagnosis of Extreme Scale Workflows
E. Deelman, C. Carothers, A. Mandal, B. Tierney, J. S. Vetter, I. Baldin, C. Castillo, G. Juve, D. Krol, V. Lynch, B. Mayer, J. Meredith, T. Proffen, P. Ruth, R. Ferreira da Silva

International Journal of High Performance Computing Applications, vol. 31, iss. 1, pp. 4-18, 2017

A Characterization of Workflow Management Systems for Extreme-Scale Applications
R. Ferreira da Silva, R. Filgueira, I. Pietri, M. Jiang, R. Sakellariou, E. Deelman

Future Generation Computer Systems, vol. 75, pp. 228-238, 2017.

Workflow Performance Profiles: Development and Analysis
D. Krol, R. Ferreira da Silva, E. Deelman, V. E. Lynch

Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar), 2016.

Anomaly Detection for Scientific Workflow Applications on Networked Clouds
P. Gaikwad, A. Mandal, P. Ruth, G. Juve, D. Krol, E. Deelman

IEEE 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), 2016.

Using Simple PID Controllers to Prevent and Mitigate Faults in Scientific Workflows
R. Ferreira da Silva, R. Filgueira, E. Deelman, E. Pairo-Castineira, I. M. Overton, M. Atkinson

11th Workflows in Support of Large-Scale Science (WORKS’16), 2016.

Automating Environmental Computing Applications with Scientific Workflows
R. Ferreira da Silva, E. Deelman, R. Filgueira, K. Vahi, M. Rynge, R. Mayani, B. Mayer

Environmental Computing Workshop (ECW’16), 2016.

Toward an End-to-end Framework for Modeling, Monitoring, and Anomaly Detection for Scientific Workflows
A. Mandal, P. Ruth, I. Baldin, D. Krol, G. Juve, R. Mayani, R. Ferreira da Silva, E. Deelman, J. Meredith, J. Vetter, V. Lynch, B. Mayer, J. Wynne III, M. Blanco, C. Carothers, J. LaPre, B. Tierney

Workshop on Large-Scale Parallel Processing (LSPP 2016), 2016.

Consecutive Job Submission Behavior at Mira Supercomputer
S. Schlagkamp, R. Ferreira da Silva, W. Allcock, E. Deelman, U. Schwiegelshohn

25th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), Kyoto, Japan, 2016.

Understanding User Behavior: from HPC to HTC
S. Schlagkamp, R. Ferreira da Silva, E. Deelman, U. Schwiegelshohn

International Conference on Computational Science (ICCS), 2016.

Science Automation in Practice: Performance Data Farming in Workflows
D. Krol, J. Kitowski, R. Ferreira da Silva, G. Juve, K. Vahi, M. Rynge, E. Deelman

21st IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2016.

Performance Analysis of an I/O-Intensive Workflow executing on Google Cloud and Amazon Web Services
H. Nawaz, G. Juve, R. Ferreira da Silva, E. Deelman

18th Workshop on Advances in Parallel and Distributed Computational Models (APDCM), 2016.

Climate Science Performance, Data and Productivity on Titan
B. Mayer, P. H. Worley, R. Ferreira da Silva, A. L. Gaddis

Cray User Group Meeting, Chicago, IL, 2015.

Practical Resource Monitoring for Robust High Throughput Computing
G. Juve, B. Tovar, R. Ferreira da Silva, D. Krol, D. Thain, E. Deelman, W. Allcock, M. Livny

Workshop on Monitoring and Analysis for High Performance Computing Systems Plus Applications, 2015.

Panorama: Modeling The Performance of Scientific Workflows.
E. Deelman, C. Carothers, A. Mandal, B. Tierney, J. S. Vetter, I. Baldin, C. Castillo, G. Juve, D. Krol, V. Lynch, B. Mayer, J. Meredith, T. Proffen, P. Ruth, R. Ferreira da Silva

Workshop on Modeling and Simulation of Systems and Applications (ModSim 2015), 2015.

Posters