Epidemic Real-Time Monitor Based on Spark Streaming Real-Time Computing Algorithm

ABSTRACT

Real-time data processing refers to the process by which the computer collects and processes field data in the actual time when it occurs. At present, there are many drawbacks to the traditional real-time data processing model. For example, developing a real-time processing model requires developers have high technical skills. And the model deployment and task monitoring are very inconvenient. Spark Streaming is currently the most popular real-computing framework. It has good scalability, high throughput, and fault tolerance mechanism.According to the characteristics of epidemic diffusion, this paper designs an epidemic real-time monitoring model based on the Spark Streaming algorithm and develops a visual and interactive real-time epidemic monitoring system for the novel coronavirus pneumonia (COVID-19) epidemic in a timely and effective manner. At last, a epidemic diffusion system is developed and the COVID-19 epidemic diffusion can be simulated as a graphic interface. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.