Ryan Chard

According to our database, Ryan Chard authored at least 78 papers between 2012 and 2024.

Collaborative distances:

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

2024

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving.

Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li

CoRR, 2024

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments.

Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster

CoRR, 2024

2023

Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications.

Melanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra

IEEE Instrum. Meas. Mag., December, 2023

Globus automation services: Research process automation across the space-time continuum.

Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster

Future Gener. Comput. Syst., May, 2023

Rural AI: Serverless-Powered Federated Learning for Remote Applications.

Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster

IEEE Internet Comput., 2023

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx.

Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, E. A. Huerta, Maryellen L. Giger

CoRR, 2023

nelli: a lightweight frontend for MLIR.

Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster

CoRR, 2023

OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science.

Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster

CoRR, 2023

Active Research Data Management with the Django Globus Portal Framework.

Nickolaus D. Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure.

Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ryan Chard, Kurt McKee, Ada Nikolaidis, Jim Pruyne, Stephen Rosen, Ian T. Foster

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction.

Michael H. Prince, Doga Gürsoy, Dina Sheyfer, Ryan Chard, Benoît Côté, Hannah Parraga, Barbara Frosik, Jonathan Z. Tischler, Nicholas Schwarz

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

Empowering Scientific Discovery Through Computing at the Advanced Photon Source.

Hannah Parraga, John Hammonds, Steven Henke, Sinisa Veseli, William E. Allcock, Benoît Côté, Ryan Chard, Suresh Narayanan, Nicholas Schwarz

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

Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers.

Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster

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

Tournament-Based Pretraining to Accelerate Federated Learning.

Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard

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

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.

Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

ProPack: Executing Concurrent Serverless Functions Faster and Cheaper.

Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, Devesh Tiwari

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources.

Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara

Proceedings of the High Performance Computing for Imaging 2023, 2023

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.

Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri

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

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.

Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

2022

$f$funcX: Federated Function as a Service for Science.

Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard

IEEE Trans. Parallel Distributed Syst., 2022

Linking scientific instruments and computation: Patterns, technologies, and experiences.

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

Patterns, 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.

Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens

J. Chem. Inf. Model., 2022

funcX: Federated Function as a Service for Science.

Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard

CoRR, 2022

Deep learning at the edge enables real-time streaming ptychographic imaging.

Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara

CoRR, 2022

FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy.

Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster

CoRR, 2022

Real-Time Streaming and Event-driven Control of Scientific Experiments.

Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri

CoRR, 2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

CoRR, 2022

Assessing the Current State of AWS Spot Market Forecastability.

Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard

Proceedings of the IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies, 2022

FLoX: Federated Learning with FaaS at the Edge.

Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Adaptive Edge-Cloud Environments for Rural AI.

Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster

Proceedings of the IEEE International Conference on Services Computing, 2022

2021

DLHub: Simplifying publication, discovery, and use of machine learning models in science.

Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster

J. Parallel Distributed Comput., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).

Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon

Int. J. High Perform. Comput. Appl., 2021

Ultrafast Focus Detection for Automated Microscopy.

Maksim Levental, Ryan Chard, Gregg A. Wildenberg

CoRR, 2021

Braid-DB: Toward AI-Driven Science with Machine Learning Provenance.

Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

High-Performance Ptychographic Reconstruction with Federated Facilities.

Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.

Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments.

Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.

Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

A Serverless Framework for Distributed Bulk Metadata Extraction.

Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Ultrafast Focus Detection for Automated Microscopy.

Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg

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

Federated Function as a Service for eScience.

Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li

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

2020

Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection.

E. A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster

CoRR, 2020

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.

Yadu N. Babuji, Ben Blaiszik, Tom Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Ian T. Foster, Zhi Hong, Shantenu Jha, Zhuozhao Li, Xuefeng Liu, Arvind Ramanathan, Yi Ren, Nicholaus Saint, Marcus Schwarting, Rick Stevens, Hubertus Van Dam, Rick Wagner

CoRR, 2020

OAuth SSH with Globus Auth.

Jason Alt, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster, Lee Liming, Steven Tuecke

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

The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT.

Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri

Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis.

Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster

Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

funcX: A Federated Function Serving Fabric for Science.

Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

Serverless Supercomputing: High Performance Function as a Service for Science.

Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard

CoRR, 2019

Publishing and Serving Machine Learning Models with DLHub.

Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Petrel: A Programmatically Accessible Research Data Service.

William E. Allcock, Benjamin S. Allen, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Ian T. Foster, Lukasz Lacinski, Michael E. Papka, Rick Wagner

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Serverless Workflows for Indexing Large Scientific Data.

Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster

Proceedings of the 5th International Workshop on Serverless Computing, 2019

DLHub: Model and Data Serving for Science.

Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Deconstructing the 2017 Changes to AWS Spot Market Pricing.

Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard

Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

Parsl: Pervasive Parallel Programming in Python.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems.

Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

ParaOpt: Automated Application Parameterization and Optimization for the Cloud.

Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

2018

Scalable pCT Image Reconstruction Delivered as a Cloud Service.

Ryan Chard, Ravi K. Madduri, Nicholas T. Karonis, Kyle Chard, Kirk L. Duffin, Caesar E. Ordoñez, Thomas D. Uram, Justin Fleischauer, Ian T. Foster, Michael E. Papka, John Winans

IEEE Trans. Cloud Comput., 2018

Globus Platform Services for Data Publication.

Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Brendan McCollam, Jim Pruyne, Stephen Rosen, Steven Tuecke, Ian T. Foster

Proceedings of the Practice and Experience on Advanced Research Computing, 2018

Profiling and Predicting Application Performance on the Cloud.

Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster

Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018

High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation.

Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster

Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data.

Tyler J. Skluzacek, Rohan Kumar, Ryan Chard, Galen Harrison, Paul G. Beckman, Kyle Chard, Ian T. Foster

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service.

Ryan Chard, Kyle Chard, Rich Wolski, Ravi K. Madduri, Bryan Ng, Kris Bubendorfer, Ian T. Foster

IEEE Cloud Comput., 2017

Probabilistic guarantees of execution duration for Amazon spot instances.

Rich Wolski, John Brevik, Ryan Chard, Kyle Chard

Proceedings of the International Conference for High Performance Computing, 2017

Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure.

Arnab Kumar Paul, Steven Tuecke, Ryan Chard, Ali Raza Butt, Kyle Chard, Ian T. Foster

Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2017

Ripple: Home Automation for Research Data Management.

Ryan Chard, Kyle Chard, Jason Alt, Dilworth Y. Parkinson, Steven Tuecke, Ian T. Foster

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

Software Defined Cyberinfrastructure.

Ian T. Foster, Ben Blaiszik, Kyle Chard, Ryan Chard

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Software Defined Cyberinfrastructure for Data Management.

Ryan Chard, Kyle Chard, Steven Tuecke, Ian T. Foster

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

Improving the Performance of Cloud-based Scientific Services.

Ryan Chard

PhD thesis, 2016

Network health and e-Science in commercial clouds.

Ryan Chard, Kris Bubendorfer, Bryan Ng

Future Gener. Comput. Syst., 2016

An Automated Tool Profiling Service for the Cloud.

Ryan Chard, Kyle Chard, Bryan Ng, Kris Bubendorfer, Alex A. Rodriguez, Ravi K. Madduri, Ian T. Foster

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015

Reputation systems: A survey and taxonomy.

Ferry Hendrikx, Kris Bubendorfer, Ryan Chard

J. Parallel Distributed Comput., 2015

PDACS: A Portal for Data Analysis Services for Cosmological Simulations.

Ravi K. Madduri, Alex A. Rodriguez, Thomas D. Uram, Katrin Heitmann, Tanu Malik, Saba Sehrish, Ryan Chard, Shreyas Cholia, Marc F. Paterno, Jim Kowalkowski, Salman Habib

Comput. Sci. Eng., 2015

The Globus Galaxies platform: delivering science gateways as a service.

Ravi K. Madduri, Kyle Chard, Ryan Chard, Lukasz Lacinski, Alex A. Rodriguez, Dinanath Sulakhe, David Kelly, Utpal J. Dave, Ian T. Foster

Concurr. Comput. Pract. Exp., 2015

Cost-Aware Cloud Provisioning.

Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster

Proceedings of the 11th IEEE International Conference on e-Science, 2015

Cost-Aware Elastic Cloud Provisioning for Scientific Workloads.

Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

PDACS: a portal for data analysis services for cosmological simulations.

Ryan Chard, Saba Sehrish, Alex A. Rodriguez, Ravi K. Madduri, Thomas D. Uram, Marc F. Paterno, Katrin Heitmann, Shreyas Cholia, Jim Kowalkowski, Salman Habib

Proceedings of the 9th Gateway Computing Environments Workshop, 2014

Network Health and e-Science in Public Clouds.

Ryan Chard, Kris Bubendorfer, Bryan Ng

Proceedings of the 10th IEEE International Conference on e-Science, 2014

2012

Experiences in the design and implementation of a Social Cloud for Volunteer Computing.

Ryan Chard, Kris Bubendorfer, Kyle Chard

Proceedings of the 8th IEEE International Conference on E-Science, 2012