2 papers
cs.DC2021
System-aware dynamic partitioning for batch and streaming workloads
Zoltán Zvara, Péter G. N. Szabó, Balázs Barnabás Lóránt +1
When processing data streams with highly skewed and nonstationary key distributions, we often observe overloaded partitions when the hash partitioning fails to balance data correct…
cs.DC2020
Ranking and benchmarking framework for sampling algorithms on synthetic data streams
József Dániel Gáspár, Martin Horváth, Győző Horváth +1
In the fields of big data, AI, and streaming processing, we work with large amounts of data from multiple sources. Due to memory and network limitations, we process data streams on…