Real time optimization of massive image data distribution system

Shuzhen Wang; Fengqiang Gao

doi:10.1117/12.2631930

14 April 2022 Real time optimization of massive image data distribution system

Shuzhen Wang, Fengqiang Gao

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121781U (2022) https://doi.org/10.1117/12.2631930
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

At present, in smart city and other applications, message middleware Kafka is usually used to distribute massive image terminal data to business components such as data analysis. However, in practical business applications, it is found that the traditional Kafka message distribution mode is usually difficult to apply to high real-time massive data distribution scenarios. To solve this problem, the message distribution mode of the system is optimized, and a mode of separating normal real-time distribution from abnormal reissue is proposed. In this distribution mode, when the subscriber is normal, the message is directly distributed to the subscriber in real time. When the subscriber is abnormal, Kafka is responsible for reissuing the message after fault recovery. The experimental results show that the delay and resource consumption of the distribution mode are significantly reduced, the delay is reduced by 60% ~ 70%, and the CPU and memory utilization are reduced by 45% and 43% respectively.

Citation Download Citation

Shuzhen Wang and Fengqiang Gao "Real time optimization of massive image data distribution system", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121781U (14 April 2022); https://doi.org/10.1117/12.2631930

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available