TY - GEN
T1 - Streaming Media Load Balancing with Improved Genetic Algorithm
AU - Zhang, Yang
AU - Yang, Xing
AU - Xu, Yuan
AU - He, Yanlin
AU - Zhang, Mingqing
AU - Zhu, Qunxiong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The load balancing algorithm of streaming media server is facing unique challenges. Different from the traditional Web server, the streaming media server needs to consider the characteristics of real-time, bandwidth occupation and multimedia data transmission. Therefore, the traditional load balancing algorithm is not necessarily suitable for streaming media servers, and needs special design and research. Aiming at the network requests of streaming media server clusters, a multi-dimensional matrix evaluation method based on streaming media characteristics is proposed, the genetic algorithm is improved, and it is applied to the dynamic load balancing algorithm scheduling scenario, and analyzed and simulated. Experimental results show that the algorithm can effectively reduce the average execution time of all requests, speed up the average response time and improve throughput.
AB - The load balancing algorithm of streaming media server is facing unique challenges. Different from the traditional Web server, the streaming media server needs to consider the characteristics of real-time, bandwidth occupation and multimedia data transmission. Therefore, the traditional load balancing algorithm is not necessarily suitable for streaming media servers, and needs special design and research. Aiming at the network requests of streaming media server clusters, a multi-dimensional matrix evaluation method based on streaming media characteristics is proposed, the genetic algorithm is improved, and it is applied to the dynamic load balancing algorithm scheduling scenario, and analyzed and simulated. Experimental results show that the algorithm can effectively reduce the average execution time of all requests, speed up the average response time and improve throughput.
KW - cluster server
KW - genetic algorithm
KW - load balancing
KW - streaming media
UR - http://www.scopus.com/inward/record.url?scp=85200338615&partnerID=8YFLogxK
U2 - 10.1109/CCDC62350.2024.10588365
DO - 10.1109/CCDC62350.2024.10588365
M3 - Conference contribution
AN - SCOPUS:85200338615
T3 - Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024
SP - 6251
EP - 6256
BT - Proceedings of the 36th Chinese Control and Decision Conference, CCDC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th Chinese Control and Decision Conference, CCDC 2024
Y2 - 25 May 2024 through 27 May 2024
ER -