Computer Science ›› 2019, Vol. 46 ›› Issue (11): 94-99.doi: 10.11896/jsjkx.181001975

• Network & Communication • Previous Articles     Next Articles

Intelligent Incentive Mechanism for Fog Computing-based Multimedia Systems with Swarming Behavior

LIU Lu1,2, ZHAO Guo-qing2   

  1. (School of Communication and Information Engineering,Xi’an Post and Telecommunications University,Xi’an 710071,China)1
    (School of Communication Engineering,Xi’an Electronic and Science University,Xi’an 710071,China)2
  • Received:2018-10-24 Online:2019-11-15 Published:2019-11-14

Abstract: In order to improve the efficiency of multimedia data transmission and system execution and reduce the ope-rating cost of multimedia services,this paper proposed an intelligent incentive mechanism based on fog computing from the analysis model and evolution of group behavior of multimedia systems.Firstly,based on the characteristics of simplification,decentralized deployment,redundancy,robustness and self-management,an evolutionary model of group behavior analysis for distributed multimedia systems is established,and an evolutionary algorithm of group behavior analysis for multimedia systems is presented.Then,in order to maximize the system utility,the fog server nodes are scheduled by self-organization and active evolution.In order to optimize individual service strategy,fog computing combines with evolutionary process to control group behavior participation.On this basis,the fog server nodes update individual sche-duling step by step,and real-time statistics the system topology scheduling effect.The simulation experiment is based on the simulation platform of networked control system of Matlab,and the multimedia system is deployed.The topology and wireless transmission of distributed multimedia system are simulated by Matlab.The EMSSB (Evolution algorithm of Multimedia Systems Swarming Behavior) algorithm and IIFS (Intelligent Incentive algorithm with Fog computing and Swarming Behavior) algorithm proposed above are implemented in combination with C language.The data of simulation experiments are the average of 100 repetition delays. In each repetitive experiment,the other parameters are consistent except that the time and number of multimedia requests are set to random.The simulation results show that the proposed incentive algorithm performs well in real-time multimedia data transmission,fog node incentive effectiveness and user request response.The proposed incentive algorithm can shorten the end-to-end delay by 45%,effectively control the participation degree,and control the different participation proportion according to the user’s request.In addition,the user response delay and multimedia data stream transmission delay can be reduced by 53% and 45%,respectively.

Key words: Fog computing, Intelligent incentive, Multimedia systems, Swarming behavior

CLC Number: 

  • TP393
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