Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (6): 261-267.doi: 10.11896/jsjkx.200400131

• Computer Network • Previous Articles     Next Articles

Load Balancing Mechanism for Bandwidth and Time-delay Constrained Streaming Media Server Cluster

ZHENG Zeng-qian1, WANG Kun1, ZHAO Tao2, JIANG Wei3, MENG Li-min1   

  1. 1 College of Information Engineering,Zhejiang University of Technology,Hangzhou 310000,China
    2 Zhejiang Communication Industry Service,Co.,Ltd.,Hangzhou 310000,China
    3 College of Information Science and Technology,Zhejiang Shuren University,Hangzhou 310000,China
  • Received:2020-04-28 Revised:2020-06-23 Online:2021-06-15 Published:2021-06-03
  • About author:ZHENG Zeng-qian,born in 1995,postgraduate.His main research interests include streaming media server and load balancing.(2111803022@zjut.edu.cn)
    MENG Li-min,born in 1963,Ph.D,professor,Ph.D supervisor,is a member of China Computer Federation.Her main research interests include wireless communication and network,streaming media transmission and IoT communications.
  • Supported by:
    National Natural Science Foundation of China(61871349),Natural Science Foundation of Zhejiang Province,China(LQ19F010013,LY18F010024) and Science and Technology Program of Jinhua in 2019(2019-4-176).

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Abstract: 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.

Key words: Calculate off-line, Genetic algorithm, Load balancing, Quality of service, Server cluster, Streaming service

CLC Number: 

  • TP301
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