2 papers
cs.DC2025
Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems
Yuxing Han, Lixiang Chen, Haoyu Wang +5
Distributed stream processing systems rely on the dataflow model to define and execute streaming jobs, organizing computations as Directed Acyclic Graphs (DAGs) of operators. Adjus…
cs.DB2025
AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines
Lixiang Chen, Yuxing Han, Yu Chen +3
Modern analytical query engines (AQEs) are essential for large-scale data analysis and processing. These systems usually provide numerous query-level tunable knobs that significant…