14 citations · 35 across the 5 of their papers we have counts for
6 papers
Serverless Supercomputing: High Performance Function as a Service for Science
Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li +6
Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. Th…
DLHub: Model and Data Serving for Science
Ryan Chard, Zhuozhao Li, Kyle Chard +7
While the Machine Learning (ML) landscape is evolving rapidly, there has been a relative lag in the development of the "learning systems" needed to enable broad adoption. Furthermo…
Security for Grid Services
Von Welch, Frank Siebenlist, Ian Foster +7
Grid computing is concerned with the sharing and coordinated use of diverse resources in distributed "virtual organizations." The dynamic and multi-institutional nature of these en…
A Community Authorization Service for Group Collaboration
Laura Pearlman, Von Welch, Ian Foster +2
In "Grids" and "collaboratories," we find distributed communities of resource providers and resource consumers, within which often complex and dynamic policies govern who can use w…
Replica Selection in the Globus Data Grid
Sudharshan Vazhkudai, Steven Tuecke, Ian Foster
The Globus Data Grid architecture provides a scalable infrastructure for the management of storage resources and data that are distributed across Grid environments. These services…
Secure, Efficient Data Transport and Replica Management for High-Performance Data-Intensive Computing
Bill Allcock, Joe Bester, John Bresnahan +7
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific information from very large collections of measured or comput…