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