Kate Keahey

Last updated

Kate Keahey
NationalityAmerican
Alma mater Indiana University
Known for
Awards
Scientific career
Fields
Institutions
Academic advisors
  • Dennis Gannon
Website

Katarzyna Keahey is a Senior Computer Scientist at Argonne National Laboratory and the Consortium for Advanced Science and Engineering (CASE) of the University of Chicago. [9] She is a Principal Investigator (PI) of the Chameleon project, which provides an innovative experimentation platform for computer science systems experiments. [10] She created Nimbus, one of the first open source implementations of infrastructure-as-a-Service (IaaS), and co-founded the SoftwareX journal, publishing software as a scientific instrument. [5] [11] [2]

Contents

Education

Keahey attended the Gdańsk University of Technology where she obtained her magister inżynier in informatics in 1992. She received her M.S. in computer science at Indiana University in 1994, and later went on to earn her Ph.D. in computer science at Indiana University in 1998. [12] Her Ph.D. dissertation was titled, An Architecture for Application-Level Parallel Distributed Computation, and was supervised by Dennis Gannon.

Research

Her research interests include cloud computing, [1] [13] resource management, [7] [14] in particular the exploration of how cloud and high-performance/scientific resources can co-exist and complement each other, [8] [15] [16] infrastructure operation, [3] and Internet of Things (IoT)/cloud continuum. She is currently developing methods that support capturing, replicating, and publishing experiments digitally. [3]

Related Research Articles

<span class="mw-page-title-main">Supercomputer</span> Type of extremely powerful computer

A supercomputer is a computer with a high level of performance as compared to a general-purpose computer. The performance of a supercomputer is commonly measured in floating-point operations per second (FLOPS) instead of million instructions per second (MIPS). Since 2017, there have existed supercomputers which can perform over 1017 FLOPS (a hundred quadrillion FLOPS, 100 petaFLOPS or 100 PFLOPS). For comparison, a desktop computer has performance in the range of hundreds of gigaFLOPS (1011) to tens of teraFLOPS (1013). Since November 2017, all of the world's fastest 500 supercomputers run on Linux-based operating systems. Additional research is being conducted in the United States, the European Union, Taiwan, Japan, and China to build faster, more powerful and technologically superior exascale supercomputers.

<span class="mw-page-title-main">Argonne National Laboratory</span> American science and engineering research laboratory in Illinois

Argonne National Laboratory is a federally funded research and development center in Lemont, Illinois, United States. Founded in 1946, the laboratory is owned by the United States Department of Energy and administered by UChicago Argonne LLC of the University of Chicago. The facility is the largest national laboratory in the Midwest.

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<span class="mw-page-title-main">High-performance computing</span> Computing with supercomputers and clusters

High-performance computing (HPC) uses supercomputers and computer clusters to solve advanced computation problems.

Ian Tremere Foster is a New Zealand-American computer scientist. He is a distinguished fellow, senior scientist, and director of the Data Science and Learning division at Argonne National Laboratory, and a professor in the department of computer science at the University of Chicago.

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<span class="mw-page-title-main">TeraGrid</span>

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<span class="mw-page-title-main">Edge computing</span> Distributed computing paradigm

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Ignacio Martín Llorente is an entrepreneur, researcher and educator in the field of cloud and distributed computing. He is the director of OpenNebula, a visiting scholar at Harvard University and a full professor at Complutense University. Dr. Llorente is a IEEE Senior Member. He holds a Ph.D in Computer Science from UCM and an Executive MBA from IE Business School.

Mobile Cloud Computing (MCC) is the combination of cloud computing and mobile computing to bring rich computational resources to mobile users, network operators, as well as cloud computing providers. The ultimate goal of MCC is to enable execution of rich mobile applications on a plethora of mobile devices, with a rich user experience. MCC provides business opportunities for mobile network operators as well as cloud providers. More comprehensively, MCC can be defined as "a rich mobile computing technology that leverages unified elastic resources of varied clouds and network technologies toward unrestricted functionality, storage, and mobility to serve a multitude of mobile devices anywhere, anytime through the channel of Ethernet or Internet regardless of heterogeneous environments and platforms based on the pay-as-you-use principle."

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Michela Taufer is an Italian-American computer scientist and holds the Jack Dongarra Professorship in High Performance Computing within the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. She is an ACM Distinguished Scientist and an IEEE Senior Member. In 2021, together with a team al Lawrence Livermore National Laboratory, she earned a R&D 100 Award for the Flux workload management software framework in the Software/Services category.

Pegasus is an open-source workflow management system. It provides the necessary abstractions for scientists to create scientific workflows and allows for transparent execution of these workflows on a range of computing platforms including high performance computing clusters, clouds, and national cyberinfrastructure. In Pegasus, workflows are described abstractly as directed acyclic graphs (DAGs) using a provided API for Jupyter Notebooks, Python, R, or Java. During execution, Pegasus translates the constructed abstract workflow into an executable workflow which is executed and managed by HTCondor.

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References

  1. 1 2 K. Keahey, I. Foster, T. Freeman, and X. Zhang, "Virtual Workspaces: Achieving Quality of Service and Quality of Life in the Grid", Scientific Programming ; 13(4), pp. 265-276 (2005)
  2. 1 2 A Nimbus Rises in the World of Cloud Computing, by PHYS staff, in Phys.org ; published 8 May 2019; retrieved 15 May 2020
  3. 1 2 3 K. Keahey, J. Anderson, P. Ruth, J. Colleran, C.Hammock, J. Stubbs, and Z. Zhen "Operational Lessons from Chameleon", Proceedings of the Humans in the Loop: Enabling and Facilitating Research on Cloud Computing; 5 pp. 1–7 (2019)
  4. ↑ TACC Puts Chameleon Cloud Testbed into Production, by Inside HPC staff, in HPCwire; published 29 July 2015; retrieved 15 May 2020
  5. 1 2 Lessons from the Grid: An Interview with Argonne’s Kate Keahey, by Nicole Hemsoth, in HPCwire; published 25 January 2011; retrieved 13 May 2020
  6. ↑ "Prof Kate Keahey, research profile – personal details Argonne National Laboratory (ANL)" . Retrieved 15 May 2020.
  7. 1 2 A. Andrieux, K. Czajkowski, A. Dan, K. Keahey, H. Ludwig, J. Pruyne, J. Rofrano, S. Tuecke, and M. Xu, "Web services agreement specification (WS-Agreement)", Global Grid Forum ; pp. 265-276 (2007)
  8. 1 2 F. Liu, K. Keahey, P. Riteau, and J.B Weissman "Dynamically negotiating capacity between on-demand and batch clusters", IEEE ; pp. 493-503 (2018)
  9. ↑ "Katarzyna Keahey | Argonne National Laboratory". www.anl.gov. Retrieved 16 May 2020.
  10. ↑ "NSF renews Chameleon Cloud testbed project with $10m grant", by Sebastian Moss, in Data Center Dynamics; published 20 September 2017; retrieved 19 May 2020
  11. ↑ "Thought Leaders in the Cloud: Talking with Kate Keahey, Creator of Nimbus", by Robert Duffner, in Microsoft Azure ; published 10 December 2010; retrieved 15 May 2020
  12. ↑ Kate Keahey in ScienceDirect
  13. ↑ K. Leahey, R. Figueiredo, J. Fortes, M. Tsugawa, and T. Freeman "Science Clouds: Early Experiences in Cloud Computing for Scientific Applications", Cloud computing and applications; pp. CCA-08 (2008)
  14. ↑ K. Keahey, P. Riteau, J. Anderson and Z. Zhen, "Science Clouds: Early Experiences in Cloud Computing for Scientific Applications", Institute of Electrical and Electronics Engineers (IEEE); pp. 41-49 (2019)
  15. ↑ P. Marshall, K. Keahey and T. Freeman "Improving Utilization of Infrastructure Clouds", IEEE ; pp. 205-214 (2011)
  16. ↑ B. Sotomayor, K. Keahey, and I. Foster "Combining batch execution and leasing using virtual machines", IEEE ; pp. 87-96 (2008)
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