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CLASH: A High-Level Abstraction for Optimized, Multi-Way Stream Joins over Apache Storm

Summary: CLASH provides a high-level abstraction atop Apache Storm for native multi-way stream joins. It introduces MultiStream, a join operator that trades intermediate materialization for communication cost, with automated plan optimization and a SQL-like interface to deploy Storm topologies. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5725
Venue
SIGMOD
Year
2019
Pagerank
4.4837361e-05
Overall Rank
8,621 | 40.03%
DOI
10.1145/3299869.3320217

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Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,219 Rate-Based Query Optimization for Streaming Information Sources 2002 SIGMOD 0.00013223888
1,286 Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams 2013 SIGMOD 0.0001282373
2,814 Tuple Routing Strategies for Distributed Eddies 2003 VLDB 8.0749691e-05
3,382 Scalable and Adaptive Online Joins 2014 VLDB 7.1597145e-05
4,167 Scalable Distributed Stream Join Processing 2015 SIGMOD 6.3919506e-05
7,573 Squall: Scalable Real-time Analytics 2016 VLDB 4.7071608e-05
9,350 Tracking Set Correlations at Large Scale 2014 SIGMOD 4.3525655e-05
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