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 |
|---|---|---|---|---|
| 1,786 | Fast Approximate Correlation for Massive Time-series Data | 2010 | SIGMOD | 0.00010558719 |
| 2,680 | Finding Semantics in Time Series | 2011 | SIGMOD | 8.3234371e-05 |
| 4,113 | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection | 2021 | SIGMOD | 6.4420064e-05 |
| 7,747 | TSCache: An Efficient Flash-based Caching Scheme for Time-series Data Workloads | 2021 | VLDB | 4.6616405e-05 |
| 9,004 | DataGarage: Warehousing Massive Performance Data on Commodity Servers | 2010 | VLDB | 4.4102022e-05 |
| 10,674 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1945683e-05 |
| 12,276 | Parsimonious Linear Fingerprinting for Time Series | 2010 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
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 | 0.00035738595 |
| 785 | StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time | 2002 | VLDB | 0.00016664156 |
| 852 | Dynamic Multidimensional Histograms | 2002 | SIGMOD | 0.00015941524 |
| 1,346 | Streaming Pattern Discovery in Multiple Time-Series | 2005 | VLDB | 0.00012466288 |
| 1,400 | Wavelet Synopses with Error Guarantees | 2002 | SIGMOD | 0.00012191684 |
| 1,569 | Querying Continuous Functions in a Database System | 2008 | SIGMOD | 0.0001132337 |
| 3,519 | BRAID: Stream Mining through Group Lag Correlations | 2005 | SIGMOD | 7.0137199e-05 |
| 3,682 | Database-friendly Random Projections | 2001 | PODS | 6.8484436e-05 |
| 3,794 | Identifying Representative Trends in Massive Time Series Data Sets Using Sketches | 2000 | VLDB | 6.7617267e-05 |
| 7,356 | GAMPS: Compressing Multi Sensor Data by Grouping and Amplitude Scaling | 2009 | SIGMOD | 4.7529612e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,483 | Theory of Data Stream Computing: Where to Go | 2011 | PODS | - |
| 10,674 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 4.1945683e-05 |
| 3,794 | Identifying Representative Trends in Massive Time Series Data Sets Using Sketches | 2000 | VLDB | 6.7617267e-05 |
| 7,395 | MOST: Model-Based Compression with Outlier Storage for Time Series Data | 2023 | SIGMOD | 4.7420041e-05 |
| 3,783 | Time Series Compressibility and Privacy | 2007 | VLDB | 6.7714995e-05 |
| 8,373 | Hierarchical Residual Encoding for Multiresolution Time Series Compression | 2023 | SIGMOD | 4.5329467e-05 |
| 2,448 | Multi-Dimensional Regression Analysis of Time-Series Data Streams | 2002 | VLDB | 8.8032353e-05 |
| 662 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB | 0.00018475968 |
| 2,064 | Chimp: Efficient Lossless Floating Point Compression for Time Series Databases | 2022 | VLDB | 9.6418929e-05 |
| 11,340 | Scalable Time Series Compound Infrastructure | 2022 | SIGMOD | 4.1945683e-05 |