My main area of research is distributed computing. I research how to best support complex scientific applications on a variety of computational environments, including campus clusters, grids, and clouds. I have designed new algorithms for job scheduling, resource provisioning, and data storage optimization in the context of scientific workflows.
Since 2000, I have been conducting research in scientific workflows and have 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.
I am also interested in issues of distributed data management, high-level application monitoring, and resource provisioning in grids and clouds.
I am looking for good Ph.D. students that want to work in the area of distributed computing, with emphasis on scientific workflows, cloud computing, and data and resource management.
Current Research Projects
MINT: Model Integration through Knowledge-Rich Data and Process Composition
Model Integration through Knowledge-Rich Data and Process Composition (MINT) Major societal and environmental challenges require...