Moirae: History-Enhanced Monitoring
Summary: Moirae is a continuous monitoring engine that tightly integrates historical logs with near-real-time event processing to support per-event historical lookups and retrieval of similar past events. It returns fast, relevant approximate results with incremental refinement to avoid full-log scans. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Magdalena Balazinska (University of Washington)
- 2. YongChul Kwon (University of Washington)
- 3. Nathan Kuchta (University of Washington)
- 4. Dennis Lee (Marchex Inc.)
BibTeX Citation
@inproceedings{balazinska_cidr07,
address = {Amsterdam, Netherlands},
series = {{CIDR} '07},
title = {{Moirae: History-Enhanced Monitoring}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Balazinska, Magdalena and Kwon, YongChul and Kuchta, Nathan and Lee, Dennis},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,463 | Consistency in a Stream Warehouse | 2011 | CIDR | 6.6860367e-05 |
| 9,125 | Data Stream Warehousing | 2013 | SIGMOD | 5.3191726e-05 |
| 9,258 | Data Stream Warehousing in Tidalrace | 2015 | CIDR | 5.29708e-05 |
| 9,318 | Estimating Quantiles from the Union of Historical and Streaming Data | 2017 | VLDB | 5.289545e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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