Computer Science Seminar by Tayebeh Bahreini
Speaker:
Abstract
The growing demand for computational resources in data centers and edge computing systems coupled with rising environmental concerns calls for energy-aware and carbon-aware resource management solutions. In geographically distributed data centers, carbon intensity varies over time and across regions due to fluctuating renewable energy availability. Leveraging this variability offers an opportunity to reduce the carbon footprint of execution of workloads. Beyond the cloud, Vehicular Edge Computing (VEC) has been introduced to address low-latency requirements while minimizing the energy consumption of workloads generated by connected electric vehicles. This talk explores how carbon-aware and energy-aware workload management can be applied to both large-scale cloud systems and VEC environments, laying the groundwork for more sustainable and efficient computing.
Bio
Tayebeh Bahreini is a research scientist specializing in distributed systems, cloud computing, and optimization algorithms. She received her Ph.D. in Computer Science from Wayne State University. Immediately after graduating, she joined IBM T.J. Watson Research Center as a postdoctoral research scientist, working on energy systems and sustainability in cloud environments. Dr. Bahreini has received several prestigious awards for her contributions including “National Center for Women & Information Technology (NCWIT) Collegiate National Award” and “Ralph H. Kummler Distinguished Achievement Award”. Dr. Bahreini was also recognized as one of the Top Ten Women in Edge Computing and a finalist for the 2019 Edge Woman of the Year Award by Edge Computing World.