关键词：动态批量；自适应；流处理
摘 要：In this paper, we explore the effect of the size of batches on the performance of streaming workloads.The throughput and end-to-end latency of the system can have complicated relationships with batch sizes, data ingestion rates, variations in available resources, workload characteristics, etc. We propose a simple yet robust control algorithm that automatically adapts batch sizes as the situation necessitates.We show through extensive experiments that this algorithm is powerful enough to ensure system stability and low end-to-end latency for a wide class of workloads, despite large variations in data rates and operating conditions.