4 papers · 1 filter
DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees
Alireza Heidari, Amirhossein Ahmadi, Wei Zhang
In this paper, we introduce DobLIX, a dual-objective learned index specifically designed for Log-Structured Merge(LSM) tree-based key-value stores. Although traditional learned ind…
Filter-Centric Vector Indexing: Geometric Transformation for Efficient Filtered Vector Search
Alireza Heidari, Wei Zhang
The explosive growth of vector search applications demands efficient handling of combined vector similarity and attribute filtering; a challenge where current approaches force an u…
UpLIF: An Updatable Self-Tuning Learned Index Framework
Alireza Heidari, Amirhossein Ahmadi, Wei Zhang
The emergence of learned indexes has caused a paradigm shift in our perception of indexing by considering indexes as predictive models that estimate keys' positions within a data s…
MetaHive: A Cache-Optimized Metadata Management for Heterogeneous Key-Value Stores
Alireza Heidari, Amirhossein Ahmadi, Zefeng Zhi +1
Cloud key-value (KV) stores provide businesses with a cost-effective and adaptive alternative to traditional on-premise data management solutions. KV stores frequently consist of h…