Adaptive Stream Resource Management Using Kalman Filters

Summary: Frame stream resource management as adaptive filtering; Kalman filters balance precision and resource use for volume streams. Shifts from caching static data to server-side dynamic predictive procedures, reducing communication while preserving accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3565
Venue: SIGMOD
Year: 2004
Pagerank: 0.00013382575
Overall Rank: 891 | 93.89%
DOI: 10.1145/1007568.1007573

Incoming Non-self Citations Over Time

Authors

1. Ankur Jain (University of California Santa Barbara)
2. Edward Y. Chang (University of California Santa Barbara)
3. Yuan-Fang Wang (University of California Santa Barbara)

BibTeX Citation

@inproceedings{jain_sigmod04,
        title = {{Adaptive Stream Resource Management Using Kalman Filters}},
        author = {Jain, Ankur and Chang, Edward Y. and Wang, Yuan-Fang},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007573},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007573},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 26 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
408	MauveDB: Supporting Model-based User Views in Database Systems	2006	SIGMOD	0.00019008806
1,688	Online Piece-wise Linear Approximation of Numerical Streams with Precision Guarantees	2009	VLDB	0.00010003536
2,340	Online Outlier Detection in Sensor Data Using Non-Parametric Models	2006	VLDB	8.7246796e-05
2,367	Using Probabilistic Models for Data Management in Acquisitional Environments	2005	CIDR	8.6855754e-05
2,545	Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series	2020	VLDB	8.4401333e-05
4,379	AutoPlait: Automatic Mining of Co-evolving Time Sequences	2014	SIGMOD	6.735265e-05
4,424	Classical and Contemporary Approaches to Big Time Series Forecasting	2019	SIGMOD	6.7104881e-05
4,924	ODIN: Automated Drift Detection and Recovery in Video Analytics	2020	VLDB	6.4429959e-05
5,498	SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting	2023	VLDB	6.1972571e-05
7,027	Adaptive Stream Filters for Entity-based Queries with Non-Value Tolerance	2005	VLDB	5.7231968e-05
7,752	Sketch-based Geometric Monitoring of Distributed Stream Queries	2013	VLDB	5.5521918e-05
8,092	Constraint Chaining: On Energy-Efficient Continuous Monitoring in Sensor Networks	2006	SIGMOD	5.488254e-05
8,324	THEMIS: Fairness in Federated Stream Processing under Overload	2016	SIGMOD	5.4539042e-05
8,940	STAR: Self-Tuning Aggregation for Scalable Monitoring	2007	VLDB	5.3483178e-05
10,069	Mining and Forecasting of Big Time-series Data	2015	SIGMOD	5.1643809e-05
11,179	High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors	2024	SIGMOD	5.093636e-05
11,890	Minimizing Cost by Reducing Scaling Operations in Distributed Stream Processing	2019	VLDB	5.093636e-05
12,334	MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking	2012	VLDB	5.093636e-05
12,405	Dissemination of Models over Time-Varying Data	2011	VLDB	5.093636e-05
12,415	Processing Continuous Join Queries in Sensor Networks: a Filtering Approach	2010	SIGMOD	5.093636e-05
12,471	Parsimonious Linear Fingerprinting for Time Series	2010	VLDB	5.093636e-05
12,498	Minimizing the Communication Cost for Continuous Skyline Maintenance	2009	SIGMOD	5.093636e-05
12,532	A Wavelet Transform for Efficient Consolidation of Sensor Relations with Quality Guarantees	2009	VLDB	5.093636e-05
12,614	Data-Driven Processing in Sensor Networks	2007	CIDR	5.093636e-05
12,673	Suppression and Failures in Sensor Networks: A Bayesian Approach	2007	VLDB	5.093636e-05
12,674	MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models	2007	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

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