Database Paper Browser

Back to papers

SWIX: A Memory-efficient Sliding Window Learned Index

Summary: SWIX is a memory-efficient, flat learned index for sliding-window streams, replacing tree-based indexes to reduce memory while preserving fast query times. It adapts to real-time distribution shifts and, for concurrent workloads, delivers up to 3.45× throughput with 34% of the memory, outperforming state-of-the-art approaches (22–42% footprint; up to 1.6× faster). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6850
Venue
SIGMOD
Year
2024
Pagerank
4.1945683e-05
Overall Rank
10,949 | 23.83%
DOI
10.1145/3639296

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers