The National Science Foundation (NSF) awarded a $449,815 Research Initiation Award under the STEM Education (CFDA 47.076) program to Florida A&M University (FAMU) to develop a robust and efficient cooperative resource allocation and scheduling system for improving resource utilization and throughput in cloud computing environments while ensuring service level objective availability. The 3-year project, running from August 2024 to July 2027, aims to incorporate machine learning techniques into cloud computing to design and implement an innovative resource allocation and scheduling system. The project's key objectives are to: 1) develop an efficient machine learning-based resource allocation system; 2) develop a robust machine learning-based scheduling system for improving throughput and failure resilience; 3) create educational training modules and workshops to build faculty and student capabilities in cloud computing and machine learning. This project aligns with NSF's goals of advancing STEM research and education, particularly at minority-serving institutions like FAMU, and providing research experiences for undergraduate and graduate students.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $449.8k | 8/5/24 |