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 frequently accessed records in more accessible locations, improving the speed of data merges through universal partitioning techniques, and leveraging large memory sizes and multithreading parallelism. The Regents of the University of California, Riverside will conduct the theoretical analysis, experimentation, and software integration from January 2023 through December 2025. Integration into real database systems may increase the research's impact. The funding aims to allow storing larger data at lower costs and make storage systems more accessible.
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