The National Science Foundation (NSF) awarded a $273,001 federal Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois to develop novel fault-tolerance protocols and storage abstractions for improving the performance of fault-tolerant storage systems. The 5-year project aims to enable the construction of reliable and high-performing storage systems that can support critical applications in modern datacenters without...
This $133,980 federal Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to develop an automated, machine learning-based middleware for optimizing the performance of heterogeneous high-performance computing (HPC) storage systems. The key objectives are to: 1) leverage reinforcement learning methods to intelligently place data and coordinate I/O requests across tiered HPC storage...
This Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $246,388 to the University of Washington to develop cross-layer file systems that span multiple storage technologies including non-volatile memories, solid-state disks, and traditional disk storage. The university researchers will build file storage systems able to reliably store user data at high...
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 $783,402 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will enable research at Carnegie Mellon University to reimagine the application interfaces used for data center storage. The goal is to develop new "declarative" I/O interfaces and orchestration approaches that allow programmers to express larger data access plans, enabling the storage system to coordinate,...
This Project Grant award of $287,308, issued by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program, supports research on a new data center architecture called "resource disaggregation." The project aims to leverage application-level semantics, such as memory access patterns and data object ownership, to improve the cost-efficiency and performance of resource disaggregation in cloud and data center...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $402,692 to Franklin and Marshall College to deploy a comprehensive research data storage solution. The funding will support the implementation of a 2.14 petabyte ZFS storage system, including a high-capacity 142-drive pool for general data storage and a smaller, faster 82-drive flash storage pool for compute workloads. The project also...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award for $328,017 supports the development of secure, efficient, and reliable long-term digital data storage systems. The project, awarded on November 15, 2024 and set to be completed by September 30, 2025, aims to create techniques for archiving digital data that can withstand errors, hardware failures, and malicious attacks over decades. Key objectives include developing...
This Project Grant award of $299,999 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development and optimization of a log-structured-merge tree-based key-value store system called Decoupled-LSM. The project aims to redesign the architecture of this critical data storage system to improve performance, resource utilization, and manageability within disaggregated computing infrastructures, which are...
This federal Project Grant award, with an ID of 2517557, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The $248,301 award supports a collaborative research project titled "A New Direction of Research and Development to Fulfill the Promise of Computational Storage." The project aims to address critical issues hindering the widespread adoption of computational storage, such as resource...