Catcher: A Cache Analysis System for Top-k Pub/Sub Service
Summary: Catcher: the first system for cache analysis in top-k pub/sub (TkPS), tracing how cache updates depend on workloads and data distributions. Provides interactive consoles and real-time evaluation to pinpoint bottlenecks and guide optimization of cache-based TkPS maintenance. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Baolong Mei (Zhengzhou University)
- 2. Yafei Li (Zhengzhou University)
- 3. Wei Chen (Zhengzhou University)
- 4. Linshen Luan (Zhengzhou University)
- 5. Guanglei Zhu (Zhengzhou University)
- 6. Yuanyuan Jin (Zhengzhou University)
- 7. Jianliang Xu (Hong Kong Baptist University)
BibTeX Citation
@article{mei_vldb24,
title = {{Catcher: A Cache Analysis System for Top-k Pub/Sub Service}},
author = {Mei, Baolong and Li, Yafei and Chen, Wei and Luan, Linshen and Zhu, Guanglei and Jin, Yuanyuan and Xu, Jianliang},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4389--4392},
doi = {10.14778/3685800.3685882},
url = {https://doi.org/10.14778/3685800.3685882},
year = {2024}
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,513 | Continuous Monitoring of Top-k Queries over Sliding Windows | 2006 | SIGMOD | 0.00010530872 |
| 4,650 | SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window | 2016 | VLDB | 6.5863543e-05 |
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