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<p>The study of network system comprising four subsystems with non-identical load balancers was examine in this paper. The architecture of the system, consists of n client’s server which work under the k-out-of-n: G operational policy, another subsystem which needs of system structure a router and a centralize database server and two non-identical load sharing load balancers and associated to distribute load on centralize server. Together with dissimilar types of failure two types of repairs namely General repair and joint probability function copula distribution coupling the two-distribution employed. The system performance was evaluated by use of Supplementary variables approach implications of Laplace transform. The system reliability metrics like system availability, reliability, MTSF and net revenue by the operation of system is computed. Tables and graphs show the results of the numerical calculations for securing various values of k and n, and they forecast how the system will perform in the future. The impact of reliability metrics has been emphasized in the conclusion section.</p>

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Probabilistic assessment of n clients network system covering four subsystems and non-identical load balancers

  • 期刊论文

  • 发表日期：

    2025年2月5日

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  • V. V. Singh,
  • Jyoti Paliwal,
  • Meenakshi Yadav

摘要

The study of network system comprising four subsystems with non-identical load balancers was examine in this paper. The architecture of the system, consists of n client’s server which work under the k-out-of-n: G operational policy, another subsystem which needs of system structure a router and a centralize database server and two non-identical load sharing load balancers and associated to distribute load on centralize server. Together with dissimilar types of failure two types of repairs namely General repair and joint probability function copula distribution coupling the two-distribution employed. The system performance was evaluated by use of Supplementary variables approach implications of Laplace transform. The system reliability metrics like system availability, reliability, MTSF and net revenue by the operation of system is computed. Tables and graphs show the results of the numerical calculations for securing various values of k and n, and they forecast how the system will perform in the future. The impact of reliability metrics has been emphasized in the conclusion section.