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 |
|---|---|---|---|---|
| 22 | NiagaraCQ: A Scalable Continuous Query System for Internet Databases | 2000 | SIGMOD | 0.00055779316 |
| 106 | TelegraphCQ: Continuous Dataflow Processing for an Uncertain World | 2003 | CIDR | 0.0003346111 |
| 124 | The Design of the Borealis Stream Processing Engine | 2005 | CIDR | 0.00031245505 |
| 1,309 | Apache Hadoop Goes Realtime at Facebook | 2011 | SIGMOD | 0.00011298774 |
| 2,314 | Muppet: MapReduce-Style Processing of Fast Data | 2012 | VLDB | 8.8451843e-05 |
| 7,220 | SmartCIS: Integrating Digital and Physical Environments | 2009 | SIGMOD | 5.7239496e-05 |
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