Project Grant 2227066
- This $275,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop and test new scheduling algorithms for improving the performance of modern database systems. The goal is to create models and policies that can efficiently allocate limited hardware resources, such as compute and memory, to handle a stream of parallelizable database queries with varying levels of parallelizability and service...
- This National Science Foundation Project Grant of $600,000 supports research to improve the performance of database management systems that use log structured merge tree storage technology. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award will support development of novel data organization and flow patterns within log structured merge tree storage to boost read and write capabilities. Key activities include designing algorithms to store...
- This $600,000 federal Project Grant award was issued by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The purpose of the grant is to lay the foundations for building tools that will enable data scientists to more effectively manage and process large datasets for machine learning applications. The key focus is extending relational database technology with the ability to...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with Federal Assistance Listing Number 47.070, provides $149,988 to Santa Clara University to develop DYNEX, a memory-adaptive query execution engine for cloud database management systems. The key goals of the project are to: Design join and sort operators that can adapt to memory fluctuations without performance degradation. Coordinate a performance-aware...
- 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...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering program (CFDA 47.070) totaling $580,736 will support research into improving the performance of distributed storage systems without requiring changes to their codebase. The key objectives are to understand the impact of request ordering on the performance of concurrency control and replication, which are critical components of distributed storage systems, and develop novel...
- The National Science Foundation awarded a $599,995 project grant to the University of Massachusetts under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of September 1, 2022 through August 31, 2025. The grant funds research to develop scalable in-database prescriptive analytics capabilities for dynamic environments. Specifically, the university researchers will extend prior work on constrained optimization problems to handle data uncertainty and...
- This $300,000 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant aims to develop and optimize a log-structured-merge tree-based key-value storage system, called Decoupled-LSM, for use in disaggregated cloud infrastructure environments. The research will address challenges such as network traffic, memory limitations, and transient errors in these environments. The goal is to redesign the...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $150,000 over a 2-year period from August 1, 2024 to July 31, 2026 to the University of Oklahoma. The project aims to develop machine learning-based divergent design index tuning algorithms on quantum computers for large-scale database applications. The key objectives are to implement these quantum algorithms, conduct comprehensive performance...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 in funding to the University of Hawaii to conduct research on developing parallel, cache-efficient data structures. The key objectives are to: Incorporate fractional cascading techniques into multi-way distribution frameworks to combine parallelism and I/O efficiency. Develop parallel construction of (partially) persistent B-trees...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totaling $149,690 will fund research at the University of Washington from February 2022 through September 2022 to develop scalable database technologies. Specifically, the grant will support the introduction of per-processor-core queues to absorb index updates in databases, eliminating synchronous updates to range indices. This innovation aims to free databases from bottlenecks that limit scaling of computing resources by periodically merging index updates in the background. The research is expected to dramatically reduce the cost of deploying databases by improving scalability across multiple processor cores and increasing the density of deployments. If successful, the work could defer the need for new data centers and storage devices by achieving more with existing infrastructure, or reduce energy consumption for current workloads. The grant may also influence database education through proposed lecture and project materials preparing students for scalable database design.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $149.7k | 4/23/22 |