HIRE is a hybrid learned index that achieves up to 41.7x higher throughput under mixed workloads and reduces tail latency by up to 98% compared to state-of-the-art learned and traditional indexes.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.DB 2representative citing papers
citing papers explorer
-
HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads
HIRE is a hybrid learned index that achieves up to 41.7x higher throughput under mixed workloads and reduces tail latency by up to 98% compared to state-of-the-art learned and traditional indexes.
- Tailwind: A Practical Framework for Query Accelerators