Abstract <p>The paper discusses modifications to the load balancing subsystem in a distributed system based on the BOINC platform. It is proposed to use machine learning methods to estimate the complexity of subtasks and the probability of calculating a specific subtask at a specific node. The results of using a modified load balancing subsystem are presented using the example of solving the problem of constructing a spectrum of Latin squares of the order of 12 for the number of transversals.</p>

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Modification of the Load Balancing Method in a Desktop Grid for Solving Problems of Constructing Latin Square Spectra

  • A. A. Mihnenko,
  • I. I. Kurochkin,
  • E. I. Vatutin

摘要

Abstract

The paper discusses modifications to the load balancing subsystem in a distributed system based on the BOINC platform. It is proposed to use machine learning methods to estimate the complexity of subtasks and the probability of calculating a specific subtask at a specific node. The results of using a modified load balancing subsystem are presented using the example of solving the problem of constructing a spectrum of Latin squares of the order of 12 for the number of transversals.