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Demonstrates improved load balancing in distributed systems, suggesting enhanced efficiency in problem-solving.
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.
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Mihnenko et al. (2026) studied this question.
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