In his remarks to the University Senate Meeting, held virtually, Chancellor Kent Syverud addressed the University’s COVID response, plans for the Spring Semester and progress on Equity, Diversity and Inclusion. He also provided updates on enrollment, the University budget and…
Ishfaq Ahmad, University of Texas at Arlington
Wednesday, Jan. 26
4-201 Center for Science and Technology – 1 p.m.
“Fundamental Issues and Challenging Problems in Sustainable Computing, and Some Solutions”
In this talk, we present our research activities pertaining to various aspect of energy and performance optimization in grid computing environments. We propose multi-objective optimized scheduling algorithms and tools that can be used by grid managers or service providers to save energy while ensuring performance. The design of such algorithms and resource management schemes must address the dynamic nature of the grid and task-to-machine matching requirements, while considering complex service policy issues as well as both short term and long-term energy goals. We propose game theory based scheduling algorithms that simultaneously optimize energy and
quality of service. Our game theoretic techniques not only yield efficient solutions for this problem with low overhead, but are also flexible to self-tune for accommodating various problem scenarios and management policies.
Contact Person: Brenda Flowers, Dept. of Electrical Engineering, 443-4408, firstname.lastname@example.org