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Tornado: A System For Real-Time Iterative Analysis Over Evolving Data

Summary: Tornado supports real-time iterative analysis on evolving data via a main loop and branch loops for fast convergence. Bounded asynchronous iteration preserves correctness; Tornado on Storm as a graph framework delivers results with fault tolerance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5141
Venue
SIGMOD
Year
2016
Pagerank
5.6284829e-05
Overall Rank
5,211 | 63.75%
DOI
10.1145/2882903.2882950

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Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0019005923
37 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.0007522744
43 Models and Issues in Data Stream Systems 2002 PODS 0.00072723062
288 Storm @Twitter 2014 SIGMOD 0.00028939871
314 MillWheel: Fault-Tolerant Stream Processing at Internet Scale 2013 VLDB 0.00028084774
486 Fast Incremental and Personalized PageRank 2011 VLDB 0.00022068545
522 Differential dataflow 2013 CIDR 0.00021099241
558 Trinity: A Distributed Graph Engine on a Memory Cloud 2013 SIGMOD 0.00020168032
591 TelegraphCQ: Continuous Dataflow Processing 2003 SIGMOD 0.00019569071
595 Estimating PageRank on Graph Streams 2008 PODS 0.00019507721
3,158 On-the-fly Progress Detection in Iterative Stream Queries 2009 VLDB 7.4648878e-05
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