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Ryan Chard
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2020 – today
- 2024
- [j15]André Bauer
, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud. Future Gener. Comput. Syst. 153: 558-574 (2024) - [c57]André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. e-Science 2024: 1-10 - [c56]Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster:
Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. e-Science 2024: 1-9 - [c55]Maksim Levental
BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. HEART 2024: 10-17 - [c54]Maksim Levental
An End-to-End Programming Model for AI Engine Architectures. HEART 2024: 135-136 - [c53]Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. IPDPS 2024: 217-229 - [c52]Joe Bottigliero
Zero Code and Infrastructure Research Data Portals. PEARC 2024: 36:1-36:4 - [c51]Rachana Ananthakrishnan
Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints. PEARC 2024: 62:1-62:5 - [i31]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:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR abs/2402.03480 (2024) - [i30]Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster:
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. CoRR abs/2403.06077 (2024) - [i29]Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. CoRR abs/2403.19257 (2024) - [i28]Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. CoRR abs/2407.11432 (2024) - [i27]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena. CoRR abs/2408.14434 (2024) - [i26]Nathaniel Hudson, Valérie Hayot-Sasson, Yadu N. Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard:
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning. CoRR abs/2409.16495 (2024) - 2023
- [j14]Ryan Chard, Jim Pruyne, Kurt McKee
Globus automation services: Research process automation across the space-time continuum. Future Gener. Comput. Syst. 142: 393-409 (2023) - [j13]Melanie Po-Leen Ooi, Shaleeza Sohail
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. IEEE Instrum. Meas. Mag. 26(9): 21-31 (2023) - [j12]Panos Patros
Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 27(2): 28-34 (2023) - [c50]Nathaniel Hudson
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT 2023: 15:1-15:10 - [c49]Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri:
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science 2023: 1-4 - [c48]Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke
AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources. High Performance Computing for Imaging 2023: 1-6 - [c47]Rohan Basu Roy
ProPack: Executing Concurrent Serverless Functions Faster and Cheaper. HPDC 2023: 211-224 - [c46]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops 2023: 32-41 - [c45]Matt Baughman
Tournament-Based Pretraining to Accelerate Federated Learning. SC Workshops 2023: 109-115 - [c44]Hannah Parraga
Empowering Scientific Discovery Through Computing at the Advanced Photon Source. SC Workshops 2023: 2126-2132 - [c43]Michael H. Prince
Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction. SC Workshops 2023: 2133-2139 - [c42]Alexander Brace
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. SC Workshops 2023: 2140-2146 - [c41]Nickolaus D. Saint
Active Research Data Management with the Django Globus Portal Framework. PEARC 2023: 43-51 - [c40]Rachana Ananthakrishnan
Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure. PEARC 2023: 283-287 - [i25]Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster:
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. CoRR abs/2302.06751 (2023) - [i24]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:
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR abs/2303.08803 (2023) - [i23]Anakha V. Babu, Tekin Bicer, Saugat Kandel, Tao Zhou, Daniel J. Ching, Steven Henke, Sinisa Veseli, Ryan Chard, Antonino Miceli, Mathew Joseph Cherukara:
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources. CoRR abs/2304.04297 (2023) - [i22]Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster:
nelli: a lightweight frontend for MLIR. CoRR abs/2307.16080 (2023) - [i21]Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR abs/2308.08786 (2023) - [i20]Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster:
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. CoRR abs/2308.13701 (2023) - [i19]Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, Eliu A. Huerta, Maryellen L. Giger:
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR abs/2312.08701 (2023) - 2022
- [j11]Austin Clyde, Stephanie Galanie, Daniel W. Kneller
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor. J. Chem. Inf. Model. 62(1): 116-128 (2022) - [j10]Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3(10): 100606 (2022) - [j9]Zhuozhao Li
$f$funcX: Federated Function as a Service for Science. IEEE Trans. Parallel Distributed Syst. 33(12): 4948-4963 (2022) - [c39]Osama Almurshed
Adaptive Edge-Cloud Environments for Rural AI. SCC 2022: 74-83 - [c38]Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson
FLoX: Federated Learning with FaaS at the Edge. e-Science 2022: 11-20 - [c37]Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. ICCS (1) 2022: 403-416 - [c36]Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard
Assessing the Current State of AWS Spot Market Forecastability. SuperCompCloud 2022: 8-15 - [i18]Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR abs/2204.05128 (2022) - [i17]Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri:
Real-Time Streaming and Event-driven Control of Scientific Experiments. CoRR abs/2205.01476 (2022) - [i16]Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster:
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR abs/2207.00611 (2022) - [i15]Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster:
Globus Automation Services: Research process automation across the space-time continuum. CoRR abs/2208.09513 (2022) - [i14]Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke
Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR abs/2209.09408 (2022) - [i13]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:
funcX: Federated Function as a Service for Science. CoRR abs/2209.11631 (2022) - 2021
- [j8]Francis J. Alexander
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j7]Zhuozhao Li
DLHub: Simplifying publication, discovery, and use of machine learning models in science. J. Parallel Distributed Comput. 147: 64-76 (2021) - [c35]Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. e-Science 2021: 237-238 - [c34]Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard
Federated Function as a Service for eScience. e-Science 2021: 251-252 - [c33]Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li
A Serverless Framework for Distributed Bulk Metadata Extraction. HPDC 2021: 7-18 - [c32]Aymen Al Saadi
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. ICPP 2021: 40:1-40:12 - [c31]Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li
Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments. IPDPS Workshops 2021: 66-75 - [c30]Logan T. Ward
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. MLHPC@SC 2021: 9-20 - [c29]Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae
High-Performance Ptychographic Reconstruction with Federated Facilities. SMC 2021: 173-189 - [c28]Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster:
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. SMC 2021: 247-261 - [i12]Maksim Levental, Ryan Chard, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. CoRR abs/2108.12050 (2021) - [i11]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:
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. CoRR abs/2110.02827 (2021) - [i10]Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster:
High-Performance Ptychographic Reconstruction with Federated Facilities. CoRR abs/2111.11330 (2021) - 2020
- [c27]Ryan Chard, Yadu N. Babuji, Zhuozhao Li
funcX: A Federated Function Serving Fabric for Science. HPDC 2020: 65-76 - [c26]Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. XLOOP@SC 2020: 35-40 - [c25]Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri:
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT. WF-IoT 2020: 1-2 - [c24]Jason Alt, Rachana Ananthakrishnan, Kyle Chard
OAuth SSH with Globus Auth. PEARC 2020: 34-40 - [i9]Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. CoRR abs/2005.04215 (2020) - [i8]Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri:
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT. CoRR abs/2005.13669 (2020) - [i7]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:
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release. CoRR abs/2006.02431 (2020) - [i6]Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. CoRR abs/2010.06574 (2020) - [i5]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:
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. CoRR abs/2010.08486 (2020) - [i4]Eliu 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:
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. CoRR abs/2012.08545 (2020)
2010 – 2019
- 2019
- [c23]Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li
ParaOpt: Automated Application Parameterization and Optimization for the Cloud. CloudCom 2019: 255-262 - [c22]Arnab Kumar Paul
FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. CLUSTER 2019: 1-11 - [c21]Matt Baughman, Simon Caton, Christian Haas
Deconstructing the 2017 Changes to AWS Spot Market Pricing. ScienceCloud@HPDC 2019: 19-26 - [c20]Yadu N. Babuji, Anna Woodard, Zhuozhao Li
Parsl: Pervasive Parallel Programming in Python. HPDC 2019: 25-36 - [c19]Ryan Chard, Zhuozhao Li
DLHub: Model and Data Serving for Science. IPDPS 2019: 283-292 - [c18]Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li
Serverless Workflows for Indexing Large Scientific Data. WOSC@Middleware 2019: 43-48 - [c17]William E. Allcock, Benjamin S. Allen, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard
Petrel: A Programmatically Accessible Research Data Service. PEARC 2019: 49:1-49:7 - [c16]Ryan Chard, Logan T. Ward, Zhuozhao Li
Publishing and Serving Machine Learning Models with DLHub. PEARC 2019: 73:1-73:7 - [i3]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:
Parsl: Pervasive Parallel Programming in Python. CoRR abs/1905.02158 (2019) - [i2]Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard:
Serverless Supercomputing: High Performance Function as a Service for Science. CoRR abs/1908.04907 (2019) - 2018
- [j6]Ryan Chard
Scalable pCT Image Reconstruction Delivered as a Cloud Service. IEEE Trans. Cloud Comput. 6(1): 182-195 (2018) - [c15]Tyler J. Skluzacek, Rohan Kumar, Ryan Chard, Galen Harrison, Paul G. Beckman, Kyle Chard
Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data. eScience 2018: 256-266 - [c14]Ryan Chard, Rafael Vescovi, Ming Du
High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. AI-Science@HPDC 2018: 1:1-1:7 - [c13]Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard
Profiling and Predicting Application Performance on the Cloud. UCC 2018: 21-30 - [c12]Rachana Ananthakrishnan, Ben Blaiszik
Globus Platform Services for Data Publication. PEARC 2018: 14:1-14:7 - [i1]Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. CoRR abs/1811.11213 (2018) - 2017
- [j5]Ryan Chard, Kyle Chard
Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service. IEEE Cloud Comput. 4(4): 48-59 (2017) - [c11]Ryan Chard, Kyle Chard, Steven Tuecke, Ian T. Foster:
Software Defined Cyberinfrastructure for Data Management. eScience 2017: 456-457 - [c10]Ian T. Foster, Ben Blaiszik
Software Defined Cyberinfrastructure. ICDCS 2017: 1808-1814 - [c9]Ryan Chard, Kyle Chard, Jason Alt, Dilworth Y. Parkinson, Steven Tuecke, Ian T. Foster:
Ripple: Home Automation for Research Data Management. ICDCS Workshops 2017: 389-394 - [c8]Rich Wolski, John Brevik, Ryan Chard, Kyle Chard
Probabilistic guarantees of execution duration for Amazon spot instances. SC 2017: 18 - [c7]Arnab Kumar Paul
Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure. PDSW-DISCS@SC 2017: 49-54 - 2016
- [b1]Ryan Chard:
Improving the Performance of Cloud-based Scientific Services. Victoria University of Wellington, New Zealand, 2016 - [j4]Ryan Chard, Kris Bubendorfer, Bryan Ng:
Network health and e-Science in commercial clouds. Future Gener. Comput. Syst. 56: 595-604 (2016) - [c6]Ryan Chard, Kyle Chard, Bryan Ng, Kris Bubendorfer, Alex A. Rodriguez, Ravi K. Madduri
An Automated Tool Profiling Service for the Cloud. CCGrid 2016: 223-232 - 2015
- [j3]Ravi K. Madduri
The Globus Galaxies platform: delivering science gateways as a service. Concurr. Comput. Pract. Exp. 27(16): 4344-4360 (2015) - [j2]Ravi K. Madduri
PDACS: A Portal for Data Analysis Services for Cosmological Simulations. Comput. Sci. Eng. 17(5): 18-26 (2015) - [j1]Ferry Hendrikx, Kris Bubendorfer, Ryan Chard:
Reputation systems: A survey and taxonomy. J. Parallel Distributed Comput. 75: 184-197 (2015) - [c5]Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri
Cost-Aware Elastic Cloud Provisioning for Scientific Workloads. CLOUD 2015: 971-974 - [c4]Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri
Cost-Aware Cloud Provisioning. e-Science 2015: 136-144 - 2014
- [c3]Ryan Chard, Kris Bubendorfer, Bryan Ng:
Network Health and e-Science in Public Clouds. eScience 2014: 309-316 - [c2]Ryan Chard, Saba Sehrish, Alex A. Rodriguez, Ravi K. Madduri
PDACS: a portal for data analysis services for cosmological simulations. GCE@SC 2014: 30-33 - 2012
- [c1]Ryan Chard, Kris Bubendorfer, Kyle Chard:
Experiences in the design and implementation of a Social Cloud for Volunteer Computing. eScience 2012: 1-8
Coauthor Index
Yadu N. Babuji
aka: Yadu Nand Babuji
aka: Yadu Nand Babuji
[j15] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [i31] [i30] [i29] [i28] [i27] [i26] [j14] [j13] [j12] [c50] [c46] [c45] [c41] [c40] [i25] [i24] [i22] [j11] [j10] [j9] [c39] [c38] [c37] [c36] [i18] [i16] [i15] [i13] [j7] [c35] [c34] [c33] [c32] [c31] [c30] [i11] [c27] [c26] [c24] [i9] [i7] [i6] [i5] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i3] [i2] [j6] [c15] [c14] [c13] [c12] [i1] [j5] [c11] [c10] [c9] [c8] [c7] [c6] [j3] [c5] [c4] [c1]
[j15] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [i31] [i30] [i29] [i28] [i27] [i26] [j14] [j13] [j12] [c50] [c46] [c45] [c42] [c41] [c40] [i25] [i24] [i22] [i20] [j11] [j10] [j9] [c39] [c38] [c37] [c36] [i18] [i17] [i16] [i15] [i14] [i13] [j8] [j7] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i11] [i10] [c27] [c26] [c25] [c24] [i9] [i8] [i7] [i6] [i5] [i4] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i3] [i2] [j6] [c15] [c14] [c13] [c12] [i1] [j5] [c11] [c10] [c9] [c7] [c6] [j3] [c5] [c4]
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