BARC talk by Niv Dayan 2024

Monday, August 5, 2024, Niv Dayan, Assistant Professor at the University of Toronto, Canada, will give a talk on "Expandable Filter Data Structures".

Title: 
Expandable Filter Data Structures

Abstract: Filter data structures are widely used to answer approximate set-membership queries in various areas of computer science. A filter needs to be allocated with a given capacity in advance to provide a guarantee over the false positive rate and performance. However, In many applications, the data size is not known in advance, requiring filters to expand dynamically. We show that existing methods for expanding filters do not scale in terms of performance or the false positive rate. This talk will cover InfiniFilter (SIGMOD 2023) and Aleph Filter (VLDB 2024), two new expandable filters that address these challenges. 

Bio: Niv Dayan is an assistant professor at the University of Toronto. He is interested in designing and analyzing data structures for database management and storage systems. Before joining the University of Toronto, Niv was a research scientist at Pliops, a startup working on storage engine accelerators. He was a postdoc at Harvard and Copenhagen University, and his PhD is from the IT University of Copenhagen.