Stochastic Consistency, and Scalable Pull-Based Caching for Erratic Data Stream Sources
Summary: Introduces stochastic consistency for erratic-data caches: bounded error with user-specified probability, using Brownian-motion models to trigger refresh pulls. A stateless, scalable design and overload-aware scheduler outperform existing caching schemes on real datasets. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shanzhong Zhu (University of California Riverside)
- 2. Chinya V. Ravishankar (University of California Riverside)
BibTeX Citation
@article{zhu_vldb04,
title = {{Stochastic Consistency, and Scalable Pull-Based Caching for Erratic Data Stream Sources}},
author = {Zhu, Shanzhong and Ravishankar, Chinya V.},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {192},
doi = {10.1016/B978-012088469-8.50020-6},
url = {https://doi.org/10.1016/B978-012088469-8.50020-6},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,185 | Client Assignment in Content Dissemination Networks for Dynamic Data | 2005 | VLDB | 5.4560394e-05 |
| 12,346 | Ratio Threshold Queries over Distributed Data Sources | 2013 | VLDB | 5.0723324e-05 |
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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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