This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award in the amount of $325,000.00 was provided to Carnegie Mellon University to develop and test algorithms for scheduling a stream of parallelizable database queries. The goal is to create new scheduling policies that maximize the utilization of system resources such as compute and memory in order to reduce query latencies. The project targets scheduling on both fixed hardware and in the cloud where resources can be scaled dynamically. In addition to the technical research, the award includes the development of new computer science courses to teach modeling techniques to future researchers. The project aims to improve query scheduling in modern databases through a stochastic modeling approach, moving beyond first-come-first-served policies. The award was made on May 1, 2024 with an ultimate completion date of April 30, 2027.
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