Research Director, Science Automation Technologies Division at Information Sciences Institute, University of Southern California. US.

“Use of AI for Scientific Workflows”

Abstract

This talk will briefly describe the Pegasus Workflow Management System and then describe the research in using AI techniques for anomaly detection during workflow execution. As workflows are executing in distributed environments, faults and anomalies (slowdowns in execution for example) can often occur. The talk describes the methodology for data collection to support the modeling of anomalies and the techniques used for the modeling. The talk concludes with future directions for the research.

Bio

Ewa Deelman received her PhD in Computer Science from the Rensselaer Polytechnic Institute in 1998. Following a postdoc at the UCLA Computer Science Department she joined the University of Southern California’s Information Sciences Institute (ISI) in 2000, where she is serving as a Research Director and is leading the Science Automation Technologies group. She is also a Research Professor at the USC Computer Science Department and an AAAS and IEEE Fellow.

The USC/ISI Science Automation Technologies group explores the interplay between automation and the management of scientific workflows that include resource provisioning and data management. She pioneered workflow planning for computations executing in distributed environments. Her group has lead the design and development of the Pegasus Workflow Management software and conducts research in job scheduling and resource provisioning in distributed systems, workflow performance modeling, provenance capture, and the use of cloud platforms for science. In 2006 she founded the Workshop on Workflows in Support of Large-Scale Science, which is held annually in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) conference.

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Click to download 2024 Slides in pdf.

Video 2024

Ewa is a returning speaker. Please refer to her 2023 talk on the Pegasus Workflow.