Architectures, algorithms, and protocols for distributed applications and analytics.
My research is focused on the fluid integration of computing resources -clouds, phones, and anything in-between- to support large data-driven applications. This device-edge-cloud continuum offers untapped potential for scientific workflows, particularly in ML/AI scenarios.
Current Ph.D. students:
- Zeina Houmani, in co-supervision with Dr. Eddy Caron (ENS Lyon, France),
“Urgent Analytics Across the Computing Continuum” short talk at SC20 UrgentHPC Workshop
In this talk I explore how the computing continuum, spanning resources at the edges, in the core and in-between, can be harnessed to support urgent science, Early Earthquake Warning (EEW) in particular, and present a system stack that can enable the fluid integration of distributed analytics across a dynamic infrastructure. Specifically, I will describe programming … Read More
Vision talk on “Harnessing the Computing Continuum for Urgent Science” at DCC2020
Prof. Parashar presented a Vision Talk titled “Harnessing the Computing Continuum for Urgent Science” at the International Workshop on Distributed Cloud Computing (DCC 2020) held in conjunction with ACM SIGMETRICS 2020, May 2020. Abstract: Urgent science describes time-critical, data-driven scientific workflows that can leverage distributed data sources in a timely way to facilitate important decision … Read More