273 citations · 379 across the 9 of their papers we have counts for
3 papers · 1 filter
From FASTER to F2: Evolving Concurrent Key-Value Store Designs for Large Skewed Workloads
Konstantinos Kanellis, Badrish Chandramouli, Ted Hart +1
Modern large-scale services such as search engines, messaging platforms, and serverless functions, rely on key-value (KV) stores to maintain high performance at scale. When such se…
Qd-tree: Learning Data Layouts for Big Data Analytics
Zongheng Yang, Badrish Chandramouli, Chi Wang +6
Corporations today collect data at an unprecedented and accelerating scale, making the need to run queries on large datasets increasingly important. Technologies such as columnar b…
ALEX: An Updatable Adaptive Learned Index
Jialin Ding, Umar Farooq Minhas, Jia Yu +9
Recent work on "learned indexes" has changed the way we look at the decades-old field of DBMS indexing. The key idea is that indexes can be thought of as "models" that predict the…