Run-Time Operator State Spilling for Memory Intensive Long-Running Queries
Summary: Proposes run-time state spilling for memory-heavy, long-running queries with multiple stateful operators; shows inter-operator dependencies necessitating plan-level spill strategies. Introduces bottom-up operator-level spilling and partition-level strategies (local/global output, with penalty), implemented in D-CAPE; experiments favor global-output approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bin Liu (Worcester Polytechnic Institute)
- 2. Yali Zhu (Worcester Polytechnic Institute)
- 3. Elke A. Rundensteiner (Worcester Polytechnic Institute)
BibTeX Citation
@inproceedings{liu_sigmod06,
title = {{Run-Time Operator State Spilling for Memory Intensive Long-Running Queries}},
author = {Liu, Bin and Zhu, Yali and Rundensteiner, Elke A.},
series = {{SIGMOD} '06},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1142473.1142513},
url = {https://dl.acm.org/doi/10.1145/1142473.1142513},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 983 | Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management | 2013 | SIGMOD | 0.0001283214 |
| 1,895 | Samza: Stateful Scalable Stream Processing at LinkedIn | 2017 | VLDB | 9.5260291e-05 |
| 3,707 | Query Suspend and Resume | 2007 | SIGMOD | 7.1818056e-05 |
| 6,528 | State-Slice: New Paradigm of Multi-query Optimization of Window-based Stream Queries | 2006 | VLDB | 5.8502273e-05 |
| 6,584 | E-Cube: Multi-Dimensional Event Sequence Analysis Using Hierarchical Pattern Query Sharing | 2011 | SIGMOD | 5.8354359e-05 |
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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.
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