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VergeDB: A Database for IoT Analytics on Edge Devices
Summary: VergeDB: an edge-focused DB that performs adaptive, task-aware compression of IoT time-series and exposes analytics/ML as first-class operations, enabling in-situ queries on raw or compressed data. Optimizes compute/storage/network tradeoffs to maximize throughput and downstream accuracy.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 410
- Venue
- CIDR
- Year
- 2021
- Pagerank
- 5.1112212e-05
- Overall Rank
- 6,311 | 56.14%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 23 of 23 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,032 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.7320795e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9241557e-05 |
| 2,619 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4427442e-05 |
| 3,946 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
6.6036232e-05 |
| 4,082 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.4601453e-05 |
| 5,571 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
5.4279553e-05 |
| 6,366 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
5.0892171e-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 |
| 8,643 |
Accelerating Product Quantization Query Execution Runtime |
2021 |
SIGMOD |
4.4730679e-05 |
| 9,299 |
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection |
2022 |
VLDB |
4.356626e-05 |
| 9,334 |
Odyssey: An Engine Enabling The Time-Series Clustering Journey |
2023 |
VLDB |
4.351469e-05 |
| 9,595 |
High-Ratio Compression for Machine-Generated Data |
2023 |
SIGMOD |
4.3153078e-05 |
| 9,599 |
SPARTAN: Data-Adaptive Symbolic Time-Series Approximation |
2025 |
SIGMOD |
4.3136057e-05 |
| 10,476 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,533 |
Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,745 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
4.1905499e-05 |
| 10,748 |
Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression |
2025 |
VLDB |
4.1905499e-05 |
| 10,900 |
The Tipping Point of Edge-Cloud Data Management |
2024 |
CIDR |
4.1905499e-05 |
| 11,044 |
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models |
2024 |
VLDB |
4.1905499e-05 |
| 11,097 |
Time-Series Anomaly Detection: Overview and New Trends |
2024 |
VLDB |
4.1905499e-05 |
| 11,237 |
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances |
2023 |
VLDB |
4.1905499e-05 |
| 13,274 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 28 |
Accurate Estimation Of The Number Of Tuples Satisfying A Condition |
1984 |
SIGMOD |
0.00080571183 |
| 63 |
Improved Histograms for Selectivity Estimation of Range Predicates |
1996 |
SIGMOD |
0.00063595699 |
| 65 |
Fast Subsequence Matching in Time-Series Databases |
1994 |
SIGMOD |
0.00061977022 |
| 126 |
Space-Efficient Online Computation of Quantile Summaries |
2001 |
SIGMOD |
0.00044753012 |
| 211 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003401421 |
| 243 |
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases |
2001 |
SIGMOD |
0.00031052437 |
| 328 |
Balancing Histogram Optimality and Practicality for Query Result Size Estimation |
1995 |
SIGMOD |
0.00027301497 |
| 537 |
Fast Time Sequence Indexing for Arbitrary L_p Norms |
2000 |
VLDB |
0.00020650291 |
| 689 |
Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences |
1997 |
SIGMOD |
0.00018069077 |
| 694 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
0.00018031141 |
| 821 |
Dimensionality Reduction for Similarity Searching in Dynamic Databases |
1998 |
SIGMOD |
0.00016232579 |
| 881 |
Query Processing for Sensor Networks |
2003 |
CIDR |
0.00015634948 |
| 1,451 |
Online Aggregation for Large MapReduce Jobs |
2011 |
VLDB |
0.00011925842 |
| 1,510 |
k-Shape: Efficient and Accurate Clustering of Time Series |
2015 |
SIGMOD |
0.00011588558 |
| 1,735 |
SciBORQ: Scientific data management with Bounds On Runtime and Quality |
2011 |
CIDR |
0.00010713691 |
| 3,801 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
6.7528979e-05 |
| 4,062 |
GRAIL: Efficient Time-Series Representation Learning |
2019 |
VLDB |
6.4792249e-05 |
| 4,854 |
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures |
2020 |
SIGMOD |
5.8707943e-05 |
| 5,438 |
The NebulaStream Platform: Data and Application Management for the Internet of Things |
2020 |
CIDR |
5.5041764e-05 |
| 8,090 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
4.5853298e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,398 |
SmartBench: A Benchmark For Data Management In Smart Spaces |
2020 |
VLDB |
4.7364678e-05 |
| 3,216 |
Frontier: Resilient Edge Processing for the Internet of Things |
2018 |
VLDB |
7.3675613e-05 |
| 9,421 |
Declarative Data Serving: The Future of Machine Learning Inference on the Edge |
2021 |
VLDB |
4.3399748e-05 |
| 10,682 |
Improving Time Series Data Compression in Apache IoTDB |
2025 |
VLDB |
4.1905499e-05 |
| 11,614 |
SuccinctEdge: A Succinct RDF Store for Edge Computing |
2020 |
VLDB |
4.1905499e-05 |
| 3,971 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
6.5733348e-05 |
| 11,373 |
Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments |
2022 |
VLDB |
4.1905499e-05 |
| 4,240 |
Db2 Event Store: A Purpose-Built IoT Database Engine |
2020 |
VLDB |
6.3258697e-05 |
| 1,925 |
Apache IoTDB: Time-series Database for Internet of Things |
2020 |
VLDB |
0.00010073156 |
| 10,900 |
The Tipping Point of Edge-Cloud Data Management |
2024 |
CIDR |
4.1905499e-05 |