6 citations · 8 across the 3 of their papers we have counts for
4 papers
Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and Insertions (Extended Version)
Kanat Tangwongsan, Martin Hirzel, Scott Schneider
Sliding-window aggregation is a foundational stream processing primitive that efficiently summarizes recent data. The state-of-the-art algorithms for sliding-window aggregation are…
In-Order Sliding-Window Aggregation in Worst-Case Constant Time
Kanat Tangwongsan, Martin Hirzel, Scott Schneider
Sliding-window aggregation is a widely-used approach for extracting insights from the most recent portion of a data stream. The aggregations of interest can usually be expressed as…
A Cloud Native Platform for Stateful Streaming
Scott Schneider, Xavier Guerin, Shaohan Hu +1
We present the architecture of a cloud native version of IBM Streams, with Kubernetes as our target platform. Streams is a general purpose streaming system with its own platform fo…
Sub-O(log n) Out-of-Order Sliding-Window Aggregation
Kanat Tangwongsan, Martin Hirzel, Scott Schneider
Sliding-window aggregation summarizes the most recent information in a data stream. Users specify how that summary is computed, usually as an associative binary operator because th…