PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation
Xianzhi Zeng,
Shuhao Zhang,
Hongbin Zhong
et al.
Abstract:Stream Window Join (SWJ), a vital operation in stream analytics, struggles with achieving a balance between accuracy and latency due to out-of-order data arrivals. Existing methods predominantly rely on adaptive buffering, but often fall short in performance, thereby constraining practical applications. We introduce PECJ, a solution that proactively incorporates unobserved data to enhance accuracy while reducing latency, thus requiring robust predictive modeling of stream oscillation. At the heart of PECJ lies… Show more
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