Kate Keahey

Argonne National Laboratory

Papers

1

Total Citations

4

H-Index

1

About

Kate Keahey is a pioneering computer scientist whose work has fundamentally shaped the landscape of cloud computing and experimental infrastructure. As the creator of the Nimbus project, she pioneered the concept of "infrastructure as a service" (IaaS) for scientific computing, enabling researchers to lease cloud resources on demand. Her leadership in developing the NSF-supported Chameleon testbed—a large-scale, reconfigurable cloud environment—has provided the global research community with an indispensable platform for reproducible, hands-on experimentation in cloud, edge, and distributed systems. With over 10,000 citations across her body of work, Keahey’s contributions are among the most influential in systems research. Her recent work, such as "AutoLearn: Learning in the Edge to Cloud Continuum," extends her impact into AI-driven resource management for the next generation of computing. A Fellow of the ACM and a senior scientist at Argonne National Laboratory, Keahey has not only advanced the science of cloud computing but also democratized access to experimental infrastructure, empowering countless students and researchers to innovate.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
AutoLearn: Learning in the Edge to Cloud Continuum
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Argonne National Laboratory

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago