Back to papers
Serf: Streaming Error-Bounded Floating-Point Compression
Summary: Serf is a streaming, error-bounded floating-point compressor for IoT time series, with Serf-Qt (quantize + Elias gamma) and Serf-XOR (lossy, XOR-based). Novel data-offset to boost leading zeros and a trailing-zero–oriented approximation with pruning enable high compression; a real-system prototype on 13 datasets vs 17 baselines shows Serf-XOR often offers the lowest end-to-end time under bandwidth limits.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7268
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.380727e-05
- Overall Rank
- 9,149 | 36.42%
- DOI
-
10.1145/3725353
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 65 |
Fast Subsequence Matching in Time-Series Databases |
1994 |
SIGMOD |
0.00061977022 |
| 211 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003401421 |
| 1,925 |
Apache IoTDB: Time-series Database for Internet of Things |
2020 |
VLDB |
0.00010073156 |
| 2,070 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6331032e-05 |
| 2,141 |
Online Piece-wise Linear Approximation of Numerical Streams with Precision Guarantees* |
2009 |
VLDB |
9.4561227e-05 |
| 2,274 |
ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra |
2018 |
VLDB |
9.1432785e-05 |
| 2,619 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4427442e-05 |
| 2,681 |
NET-FLi: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic |
2010 |
VLDB |
8.319573e-05 |
| 4,389 |
Elf: Erasing-based Lossless Floating-Point Compression |
2023 |
VLDB |
6.2197225e-05 |
| 4,509 |
ALP: Adaptive Lossless floating-Point Compression |
2023 |
SIGMOD |
6.1251244e-05 |
| 4,628 |
Sim-Piece: Highly Accurate Piecewise Linear Approximation through Similar Segment Merging |
2023 |
VLDB |
6.0321252e-05 |
| 7,392 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.737456e-05 |
| 8,341 |
Hierarchical Residual Encoding for Multiresolution Time Series Compression |
2023 |
SIGMOD |
4.5373173e-05 |
| 8,584 |
FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data |
2024 |
VLDB |
4.4857511e-05 |
| 9,452 |
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data |
2023 |
VLDB |
4.3363262e-05 |
| 9,453 |
TRACE: Real-time Compression of Streaming Trajectories in Road Networks |
2021 |
VLDB |
4.3363262e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 9,452 |
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data |
2023 |
VLDB |
4.3363262e-05 |
| 10,748 |
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression |
2025 |
VLDB |
4.1905499e-05 |
| 8,341 |
Hierarchical Residual Encoding for Multiresolution Time Series Compression |
2023 |
SIGMOD |
4.5373173e-05 |
| 10,940 |
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation |
2024 |
SIGMOD |
4.1905499e-05 |
| 4,509 |
ALP: Adaptive Lossless floating-Point Compression |
2023 |
SIGMOD |
6.1251244e-05 |
| 11,578 |
An Evaluation of Methods of Compressing Doubles |
2020 |
SIGMOD |
4.1905499e-05 |
| 2,070 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6331032e-05 |
| 10,333 |
DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data |
2026 |
VLDB |
4.1905499e-05 |
| 9,914 |
Camel: Efficient Compression of Floating-Point Time Series |
2024 |
SIGMOD |
4.2520778e-05 |
| 4,389 |
Elf: Erasing-based Lossless Floating-Point Compression |
2023 |
VLDB |
6.2197225e-05 |