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Quality-Driven Continuous Query Execution over Out-of-Order Data Streams

Summary: Introduces AQ-K-slack, a buffer-based, quality-driven disorder-handling framework for sliding-window aggregates over out-of-order streams. By fusing sampling-based AQP with control-theory guidance, it dynamically tunes the input buffer to satisfy a user-defined relative error, delivering substantial latency reductions (e.g., ~80% at 1% error) versus naive disorder-handling approaches; demonstrated by a prototype on SAP ESP. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4986
Venue
SIGMOD
Year
2015
Pagerank
4.6352012e-05
Overall Rank
7,852 | 45.38%
DOI
10.1145/2723372.2723371

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