operator chaining

360 Zhihui Cloud Developer

Jun 4, 2019 · Big Data

Why Flink Outperforms Storm: Deep Dive into Stream Processing Performance

Based on data transmission and reliability metrics, this article compares Apache Storm and Apache Flink in stream processing, presenting benchmark designs, test environments, results for synthetic and Kafka data, and offers practical recommendations such as operator chaining, object reuse, and checkpoint strategies to maximize Flink performance.

Big DataFlinkStream Processing

0 likes · 13 min read

Why Flink Outperforms Storm: Deep Dive into Stream Processing Performance

360 Tech Engineering

Jun 3, 2019 · Big Data

Performance Comparison of Apache Storm and Apache Flink from Data Transmission and Reliability Perspectives

This article presents a detailed performance benchmark comparing Apache Storm and Apache Flink in stream processing, focusing on data transmission methods, reliability mechanisms, operator chaining, and both self‑generated and Kafka‑sourced workloads, and provides practical optimization recommendations based on the results.

Big DataData TransmissionFlink

0 likes · 10 min read

Performance Comparison of Apache Storm and Apache Flink from Data Transmission and Reliability Perspectives

Architect

May 22, 2016 · Big Data

Understanding Flink Execution Resources: Operator Chains, Task Slots, Slot Sharing and CoLocation

This article explains Flink's core execution‑resource concepts—including operator chaining, task slots, slot‑sharing groups and co‑location groups—detailing their conditions, API controls, internal implementation, and how they together maximize throughput and resource utilization in stream processing.

Big DataFlinkResource Management

0 likes · 11 min read

Understanding Flink Execution Resources: Operator Chains, Task Slots, Slot Sharing and CoLocation