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PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation

Summary: PECJ enables SWJ on out-of-order streams by using unobserved data to boost accuracy and cut latency via variational posterior inference. Analytic and ML-based methods reduce error propagation and deliver high SWJ performance on a multi-thread benchmark. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6822
Venue
SIGMOD
Year
2024
Pagerank
4.1945683e-05
Overall Rank
10,941 | 23.89%
DOI
10.1145/3639268

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