Execution and Optimization of Continuous Queries with Cyclops
Summary: Cyclops coordinates windowed-aggregation continuous queries across multiple engines with a cost-based planner to select the best engine and plan. The demo presents interactive visualization of the plan space and its cost spectrum across Esper, Storm, and Hadoop. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Harold Lim
- 2. Shivnath Babu
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Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 41 | NiagaraCQ: A Scalable Continuous Query System for Internet Databases | 2000 | SIGMOD | 0.00073964959 |
| 142 | TelegraphCQ: Continuous Dataflow Processing for an Uncertain World | 2003 | CIDR | 0.00041725802 |
| 191 | The Design of the Borealis Stream Processing Engine | 2005 | CIDR | 0.00035738595 |
| 1,499 | Apache Hadoop Goes Realtime at Facebook | 2011 | SIGMOD | 0.00011675192 |
| 2,605 | Muppet: MapReduce-Style Processing of Fast Data | 2012 | VLDB | 8.4646171e-05 |
| 7,213 | SmartCIS: Integrating Digital and Physical Environments | 2009 | SIGMOD | 4.7989853e-05 |
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