A Length Adaptive Memory Management Framework in High Speed Acquisition System
Xin Chen, Haolun Ding, Xinyu Li, Hai-Ou Li, Yajun Liu, Hong Mei, Zhiwen Kang, Guolin Song · 2022 9th International Forum on Electrical Engineering and Automation (IFEEA) · 2022
In the age of information explosion, the number of network packets generated every day is monotonically increasing. In order to analyze valuable data and improve the storage performance of traffic acquisition systems, a high-performance data processing system architecture is needed. In this paper, we propose designing a high-speed data acquisition system based on data characteristics and comparing the features and capabilities of standard memory management methods. In addition, we propose a length-adaptive memory management framework based on a hot-cold domain structure. We conclude that this system architecture is experimentally proven to have reasonable practicality and usability.