Managing Massive Time Series Streams with Multi-Scale Compressed Trickles
Summary: Cypress uses multi-scale decomposition to produce sparse time and frequency-domain representations for massive streams. Queries like trend and correlations run on compressed data, enabling analytics with storage savings; validated on data-center traces. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Galen Reeves
- 2. Jie Liu
- 3. Suman Nath
- 4. Feng Zhao
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,784 | Fast Approximate Correlation for Massive Time-series Data | 2010 | SIGMOD | 0.00010548792 |
| 2,684 | Finding Semantics in Time Series | 2011 | SIGMOD | 8.3154143e-05 |
| 4,110 | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection | 2021 | SIGMOD | 6.4358092e-05 |
| 7,748 | TSCache: An Efficient Flash-based Caching Scheme for Time-series Data Workloads | 2021 | VLDB | 4.6571687e-05 |
| 9,010 | DataGarage: Warehousing Massive Performance Data on Commodity Servers | 2010 | VLDB | 4.405974e-05 |
| 10,682 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1905499e-05 |
| 12,284 | Parsimonious Linear Fingerprinting for Time Series | 2010 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 191 | The Design of the Borealis Stream Processing Engine | 2005 | CIDR | 0.00035714897 |
| 783 | StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time | 2002 | VLDB | 0.00016648503 |
| 849 | Dynamic Multidimensional Histograms | 2002 | SIGMOD | 0.00015919478 |
| 1,349 | Streaming Pattern Discovery in Multiple Time-Series | 2005 | VLDB | 0.00012453634 |
| 1,400 | Wavelet Synopses with Error Guarantees | 2002 | SIGMOD | 0.0001219602 |
| 1,567 | Querying Continuous Functions in a Database System | 2008 | SIGMOD | 0.00011320794 |
| 3,524 | BRAID: Stream Mining through Group Lag Correlations | 2005 | SIGMOD | 7.0075162e-05 |
| 3,689 | Database-friendly Random Projections | 2001 | PODS | 6.8363304e-05 |
| 3,796 | Identifying Representative Trends in Massive Time Series Data Sets Using Sketches | 2000 | VLDB | 6.7554597e-05 |
| 7,353 | GAMPS: Compressing Multi Sensor Data by Grouping and Amplitude Scaling | 2009 | SIGMOD | 4.7484027e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,496 | Theory of Data Stream Computing: Where to Go | 2011 | PODS | - |
| 10,682 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1905499e-05 |
| 3,796 | Identifying Representative Trends in Massive Time Series Data Sets Using Sketches | 2000 | VLDB | 6.7554597e-05 |
| 7,392 | MOST: Model-Based Compression with Outlier Storage for Time Series Data | 2023 | SIGMOD | 4.737456e-05 |
| 3,788 | Time Series Compressibility and Privacy | 2007 | VLDB | 6.7624343e-05 |
| 8,341 | Hierarchical Residual Encoding for Multiresolution Time Series Compression | 2023 | SIGMOD | 4.5373173e-05 |
| 2,448 | Multi-Dimensional Regression Analysis of Time-Series Data Streams | 2002 | VLDB | 8.7935134e-05 |
| 663 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00018466049 |
| 2,070 | Chimp: Efficient Lossless Floating Point Compression for Time Series Databases | 2022 | VLDB | 9.6331032e-05 |
| 11,342 | Scalable Time Series Compound Infrastructure | 2022 | SIGMOD | 4.1905499e-05 |