ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC Original Paper

Performance analysis of single streaming media server based on processor-sharing queue

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2015.01.011
  • Received Date: 25 March 2014
  • Accepted Date: 17 May 2014
  • Rev Recd Date: 17 May 2014
  • Publish Date: 30 January 2015
  • By introducing a waiting queue, an original performance evaluation model for a single server based on the finite capacity M/M/1/N-PS model was constructed. For this model, two exact expressions were derived for both users average service response time and average waiting time through solving the differential equation of system. Then the steady-state mean waiting time threshold and mean service time threshold were presented. Also, to provide a scientific quantitative reference for the design of the server, an evaluation method relative to users was proposed to estimate the performance of a server. This evaluation method is based on the principle that server service quality should be evaluated by the users. At last, users average waiting time and mean response time were calculated in this evaluation model with the number of concurrent users N=1 and N→∞, respectively. These results were then compared with those of the typical M/M/1 queuing model and the infinite capacity M/M/1-PS model, respectively.
    By introducing a waiting queue, an original performance evaluation model for a single server based on the finite capacity M/M/1/N-PS model was constructed. For this model, two exact expressions were derived for both users average service response time and average waiting time through solving the differential equation of system. Then the steady-state mean waiting time threshold and mean service time threshold were presented. Also, to provide a scientific quantitative reference for the design of the server, an evaluation method relative to users was proposed to estimate the performance of a server. This evaluation method is based on the principle that server service quality should be evaluated by the users. At last, users average waiting time and mean response time were calculated in this evaluation model with the number of concurrent users N=1 and N→∞, respectively. These results were then compared with those of the typical M/M/1 queuing model and the infinite capacity M/M/1-PS model, respectively.
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