%A ZHENG Zeng-qian, WANG Kun, ZHAO Tao, JIANG Wei, MENG Li-min %T Load Balancing Mechanism for Bandwidth and Time-delay Constrained Streaming Media Server Cluster %0 Journal Article %D 2021 %J Computer Science %R 10.11896/jsjkx.200400131 %P 261-267 %V 48 %N 6 %U {https://www.jsjkx.com/CN/abstract/article_19935.shtml} %8 2021-06-15 %X Overall load capacity of streaming media server cluster is largely affected by its service delay and bandwidth load balancing.Therefore,how to improve the real-time capability of service and balance the bandwidth load are the keys to improve the streaming media server cluster service capabilities.This paper proposes a load balancing mechanism for bandwidth and time-delay constrained streaming media server cluster.Through discretizing bandwidth of server and task,the mechanism builds the server and task state sets.And it uses genetic algorithms to calculate and store the optimal allocation scheme in each state offline to speed up the online task assignment scheme calculation while effectively allocating tasks with different bandwidth requirements to each server to optimize the cluster load.Results of simulation show that the mechanism can effectively balance the bandwidth load and reduce the number of failed tasks on the basis of having a calculation delay similar to the round-robin algorithm and least connections algorithm,thereby improving the overall service quality and ability.