Cloud Computing in the Exascale Era – Challenges and Future Directions
Monday, November 8, 2021
13:00 – 14:00
The fast-approaching exascale era will potentially require rethinking cloud computing paradigm. Several questions need to be answered – are the current network and computing infrastructure sufficient? As massive volumes of data are processed/stored on the cloud, data privacy and ownership concerns arise. What are the most effective solutions to these? How do we ensure tomorrow’s clouds are not cost prohibitive? The panel will discuss cloud computing for large data, challenges, and how do we address those challenges, and future directions.
Frank Wuerthwein (UC San Diego):
||Frank Würthwein is the Interim Director of the San Diego Supercomputer Center and the Executive Director of the Open Science Grid, a national cyberinfrastructure to advance the sharing of resources, software, and knowledge. He is also a physics professor at UC San Diego who received his Ph.D. from Cornell in 1995. After holding appointments at Caltech and MIT, he joined the UC San Diego faculty in 2003. His research focuses on experimental particle physics and distributed high-throughput computing. His primary physics interests lie in searching for new phenomena at the high energy frontier with the CMS detector at the Large Hadron Collider. His topics of interest include, but are not limited to, the search for dark matter, supersymmetry, and electroweak symmetry breaking. As an experimentalist, he is interested in instrumentation and data analysis. In the last few years, this meant developing, deploying, and now operating a worldwide distributed computing system for high-throughput computing with large data volumes. In 2010, “large” data volumes are measured in Petabytes. By 2030, they are expected to grow to Exabytes.
Ilya Baldin (RENCI)
||Ilya Baldin is the PI for FABRIC, a unique national research infrastructure to enable cutting-edge and exploratory research at-scale in networking, cybersecurity, distributed computing and storage systems, machine learning, and science applications. FABRIC is an everywhere programmable nationwide instrument comprised of novel extensible network elements equipped with large amounts of compute and storage, interconnected by high speed, dedicated optical links.
Jacob Loftis (Cisco)
Lelio Di Martino (Nokia Bell Labs)
||Catello (Lelio) Di Martino is a research scientist at Nokia Bell Labs. His interest lies in the intersection of Industrial Internet of Things (IIoT), data analytics, HPC, cloud computing, and mission critical networks, including 5G and future 6G networks. His mission is to identify, invent and promote new technologies to improve the way we live and thrive as humans. He is an experimentalist in nature with a passion for creating new game-changing prototypes challenging the status-quo of how we communicate and compute. Before joining Bell Labs, Lelio was research associate at University of Illinois where he pioneered the analysis of failure data from Petascale systems, HPC applications and interconnects to identify how Exascale machines should be designed. He holds a PhD in computer and control engineering from University of Naples Federico II
||Shashank Shekhar is a research scientist at Siemens Technology, Princeton, New Jersey in the software and systems innovations for intelligent systems research group. He leads the research for performance interference aware workload placement across edge and cloud resource spectrum for assuring performance of real-time and mission critical applications. He received his Ph.D. and M.S. in Computer Science from Vanderbilt University and has performed extensive research in the areas of platform, middleware and resource management of distributed systems. He published papers in top journals and conferences and also has book chapters and patents to his name. Prior to joining Siemens, he worked for Teradata, Hewlett Packard and Red Hat.
Student Mentoring Panel
Tuesday, November 9, 2021
13:00 – 14:00
A special dedicated Session for mentoring of the students / young professionals who will get the opportunity to discuss the ideas and share their possible career path.
We have four mentors as part of the panel.
- Marco Savi, University of Milano-Bicocca, Italy
- Michael Truty, Google Cloud Learning
- Fábio Luciano, Verdi UFSCar & KTH
- Panagiotis Papadimitriou, University of Macedonia, Greece