Mohsen Amini

University of Louisiana

Quantification of Heterogeneity in Distributed Computing Systems

Abstract

Heterogeneity is an indispensable part of modern distributed computing systems and considering it in devising system solutions (e.g., resource allocation) is decisive to optimize the system performance objective (e.g., QoS, incurred cost, and energy consumption). Even though system heterogeneity has been extensively studied in the past, there is yet to be a concrete study on measuring the impact of level of heterogeneity on the system performance objective. For that purpose, we require a measure that can quantify the system heterogeneity with respect to its impact on the performance, thereby, making the system comparable against others. Accordingly, our goal in this study is to develop a “performance-driven heterogeneity measure” that can characterize the impact of heterogeneity level of a system on its performance behavior (a.k.a. QoS) in terms of percentage of tasks meeting their deadlines.

Biography

Dr. Mohsen Amini Salehi is an Associate Professor and Francis Patrick Clark/BORSF Endowed Professorship holder at the School of Computing and Informatics, University of Louisiana Lafayette. He is the director of High Performance and Cloud Computing (HPCC) Laboratory. Dr. Amini is an NSF CAREER Awardee and, so far, he has had 7 research projects funded by National Science Foundation (NSF) and Board of Regents of Louisiana (totaling $3.0 M). He has received five awards and certificates from University of Louisiana at Lafayette in recognition of his innovative research. His paper was nominated for the “Best Paper Award” in 33rd International Parallel and Distributed Processing Symposium (IPDPS ’19), Rio de Janeiro, Brazil. Dr. Amini has received his Ph.D. in Computing and Information Systems from Melbourne University, Australia, in 2012, under supervision of Professor Rajkumar Buyya. He has been a postdoctoral fellow at Colorado State University (2012—2013), and at University of Miami (2013—2014). He is an active researcher in the community and regularly serves in the organizing premier conferences in Distributed and Cloud Computing, such as CCGRID and IEEE Cloud. He has more than 70 publications in top-tier venues and has filed 4 U.S. patents. His research interests are in AI+Systems, resource allocation across edge-to-cloud continuum, heterogeneous computing, trustworthy edge-cloud, and virtualization.