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Estimation of maximum object size satisfying mean response time constraint in web service environment

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2023, 9(3), pp.1-6
  • DOI : 10.20465/KIOTS.2023.9.3.001
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : March 16, 2023
  • Accepted : April 23, 2023
  • Published : June 30, 2023

Yong Jin Lee 1

1한국교원대학교

Accredited

ABSTRACT

One of the economical ways to satisfy the quality of service desired by the user in a web service environment is to adjust the size of the object. To this end, this study finds the maximum size of objects that satisfy this constraint when the mean response time is given below an arbitrary threshold for quality of service. It can be inferred that in the steady state of system, the mean response time in the deterministic model by using the round-robin will be the same as that of the queueing model following the general distribution. Based on this, analytical formulas and procedures for finding the maximum object size are obtained. As a service distribution of web traffic, the Pareto distribution is appropriate, so the maximum object size is computed by applying the M/G(Pareto)/1 model and the M/G/1/PS model using exponential distribution as computational experience. Performance evaluation through numerical calculation shows that as the shape parameter in the Pareto distribution increases, the M/G(Pareto)/1 model and M/G/1/PS model have the same maximum object size. The results of this study can be used to environments where objects can be sized for economical web service control.

Citation status

* References for papers published after 2023 are currently being built.