Intelligent traffic management method for random environment cloud platform based on meta heuristic algorithm

Zhiyuan Hu; Jianbo Wang; Lei Liu; Zhongda Li; Xiaojie Li; Shilong Zhang

doi:10.1117/12.3050019

8 November 2024 Intelligent traffic management method for random environment cloud platform based on meta heuristic algorithm

Zhiyuan Hu, Jianbo Wang, Lei Liu, Zhongda Li, Xiaojie Li, Shilong Zhang

Author Affiliations +

Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 134160E (2024) https://doi.org/10.1117/12.3050019
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China

Abstract

With the rapid development and widespread application of cloud computing technology, cloud platforms are facing increasingly complex traffic management challenges, especially in randomly changing network environments. To effectively address these challenges, this paper proposes an intelligent traffic governance method for random environment cloud platforms based on meta heuristic algorithms. Introducing genetic algorithms and particle swarm optimization from metaheuristic algorithms, combined with the advantages of random algorithms and local search algorithms, to achieve intelligent management of cloud platform traffic. This method adaptively explores and utilizes the structure of cloud platform traffic data to quickly find the global or approximate optimal solution for traffic management. The experimental results show that this method can significantly improve the efficiency and effectiveness of cloud platform traffic governance in random environments, ensuring the stability and reliability of cloud services.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiyuan Hu, Jianbo Wang, Lei Liu, Zhongda Li, Xiaojie Li, and Shilong Zhang "Intelligent traffic management method for random environment cloud platform based on meta heuristic algorithm", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 134160E (8 November 2024); https://doi.org/10.1117/12.3050019

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