Developed a neural network model predicting the distribution of stream key frequency. •. Proposed a key frequency aware grouping strategy and an elastic scaling ...
Dec 31, 2023 · Abstract: Highlights•Developed a neural network model predicting the distribution of stream key frequency.•Proposed a key frequency aware ...
Mar 4, 2024 · 2) Develop a Gated Recurrent Unit Sequence to Sequence model to predict key frequency distribution of streams, and propose a dynamic grouping ...
A control-theoretic strategy to drive the elastic behavior of latency-sensitive streaming operators in distributed environments that allows the operator to ...
In this paper, an enhanced adaptive join-matrix system AdaptMX for stream ... ... For demonstration, we present a transparent processing of distributed stream ...
An adaptive load balancing strategy for stateful join operator in skewed ...
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An adaptive load balancing strategy for stateful join operator in skewed data stream environments ... Zhang, A data stream prediction strategy for elastic stream ...
The operator is resilient to data skew, maintains high throughput rates, avoids blocking behavior during state repartitioning, takes an eventual consistency ...
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Aug 8, 2024 · An adaptive load balancing strategy for stateful join operator in skewed data stream environments. Future generation computer systems, 152 ...
Dec 15, 2022 · An adaptive load balancing strategy for stateful join operator in skewed data stream environments. Abstract. As one of the most ...
Mar 29, 2023 · The technique introduces a new method for distributing input data, which facilitates efficient management of skew resulting from redistribution ...