Keynote plenary: Scientific Workflow Management, is Artificial Intelligence the Answer?
Bio
Her main area of research is distributed computing. She researches how to best support complex scientific applications on a variety of computational environments, including campus clusters, grids, and clouds. She has designed new algorithms for job scheduling, resource provisioning, and data storage optimization in the context of scientific workflows.
Since 2000, She has been conducting research in scientific workflows and has been leading the design and development of the Pegasus software that maps complex application workflows onto distributed resources. Pegasus is used by a broad community of researchers in astronomy, bioinformatics, earthquake science, gravitational-wave physics, limnology, and others.
She is also the Principal Investigator for the CI Compass, the NSF Cyberinfrastructure Center of Excellence, which provides leadership, expertise, and active support to cyberinfrastructure practitioners at NSF Major Facilities and throughout the research ecosystem in order to enable ongoing evolution of our technologies, our practices, and our field, ensuring the integrity and effectiveness of the cyberinfrastructure upon which research and discovery depend.
In addition, she is interested in issues of distributed data management, high-level application monitoring, and resource provisioning in grids and clouds.