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We examine heterogeneous M/M/c/K server clusters with various load balancing policies. We provide a mathematical framework that allows the efficient computation of the mean system time of jobs in the stationary mean-field limit that allows to find optimal load balancing prioritization.

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Analysis of Load Balancing Prioritization for Heterogeneous M/M/c/K Server Clusters in the Stationary Mean-Field Regime

  • 会议论文

  • 发表日期：

    2025年

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  • Illés Horváth,
  • Márton Mészáros

摘要

We examine heterogeneous M/M/c/K server clusters with various load balancing policies. We provide a mathematical framework that allows the efficient computation of the mean system time of jobs in the stationary mean-field limit that allows to find optimal load balancing prioritization.