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- W2901185014 abstract "In stream processing, stream join is one of the critical sources of performance bottlenecks. The sliding-window-based stream join provides a precise result but consumes considerable computational resources. The current solutions lack support for the join predicates on large windows. These algorithms and their hardware accelerators are either limited to equi-join or use a nested loop join to process all the requests. In this paper, we present a new algorithm called PanJoin which has high throughput on large windows and supports both equi-join and non-equi-join. PanJoin implements three new data structures to reduce computations during the probing phase of stream join. We also implement the most hardware-friendly data structure, called BI-Sort, on FPGA. Our evaluation shows that PanJoin outperforms several recently proposed stream join methods by more than 1000x, and it also adapts well to highly skewed data." @default.
- W2901185014 created "2018-11-29" @default.
- W2901185014 creator A5027833845 @default.
- W2901185014 creator A5072791865 @default.
- W2901185014 date "2018-11-12" @default.
- W2901185014 modified "2023-10-14" @default.
- W2901185014 title "PanJoin: A Partition-based Adaptive Stream Join" @default.
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- W2901185014 doi "https://doi.org/10.48550/arxiv.1811.05065" @default.
- W2901185014 hasPublicationYear "2018" @default.
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