Design and Implementation of a High-Performance Stream-Oriented Big Data Processing System

摘要

While the real-time processing applications are ubiquitous, which lead to the sprout of many distributed real-time stream processing systems. In this paper, we design a high-performance streamed-oriented big data processing system, including a messaging queue on Kafka and a Spark Streaming-based processing engine, and we evaluate the effectiveness of our system through a real-time traffic statistics application. Then we focus on the relationship between the parameters of Kafka and Spark Streaming and the performance of our system. In the last, we discuss the scalability of the optimized system of Kafka and Spark Streaming.