Alok Singh

According to our database, Alok Singh authored at least 10 papers between 2016 and 2021.

Collaborative distances:

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

2021

Modular performance prediction for scientific workflows using Machine Learning.

Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas

Future Gener. Comput. Syst., 2021

2019

Toward a Methodology and Framework for Workflow-Driven Team Science.

Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus

Comput. Sci. Eng., 2019

Towards A Methodology and Framework for Workflow-Driven Team Science.

Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus

CoRR, 2019

2018

Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows.

Alok Singh, Ilkay Altintas, Malachi Schram, Nathan R. Tallent

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Modular Resource Centric Learning for Workflow Performance Prediction.

Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas

CoRR, 2017

A machine learning approach for modular workflow performance prediction.

Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas

Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, 2017

Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows.

Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas

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

2016

Natural Language Processing using Kepler Workflow System: First Steps.

Ankit Goyal, Alok Singh, Shitij Bhargava, Daniel Crawl, Ilkay Altintas, Chun-Nan Hsu

Proceedings of the International Conference on Computational Science 2016, 2016

Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows.

Daniel Crawl, Alok Singh, Ilkay Altintas

Proceedings of the International Conference on Computational Science 2016, 2016

Leveraging large sensor streams for robust cloud control.

Alok Singh, Eric G. Stephan, Todd Elsethagen, Matt MacDuff, Bibi Raju, Malachi Schram, Kerstin Kleese van Dam, Darren J. Kerbyson, Ilkay Altintas

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016