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- W1978411950 abstract "We briefly describe our study on the problem of streaming multiway aggregation, where large data volumes are received from multiple input streams. Multiway aggregation is a fundamental computational component in data stream management systems, requiring low-latency and high throughput solutions.We focus on the problem of designing concurrent data structures enabling for low-latency and high-throughput multiway aggregation; an issue that has been overlooked in the literature. We propose two new concurrent data structures and their lock-free linearizable implementations, supporting both order-sensitive and order-insensitive aggregate functions.Results from an extensive evaluation show significant improvement in the aggregation performance,in terms of both processing throughput and latency over the commonly-used techniques based on queues." @default.
- W1978411950 created "2016-06-24" @default.
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- W1978411950 date "2014-06-21" @default.
- W1978411950 modified "2023-09-24" @default.
- W1978411950 title "Concurrent data structures for efficient streaming aggregation" @default.
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- W1978411950 doi "https://doi.org/10.1145/2612669.2612701" @default.
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