INTELLIGENT APPROACH TO PLANNING TAKING INTO ACCOUNT THE CONCEPT OF ACCEPTABLE WORK BALANCE
DOI:
https://doi.org/10.26906/SUNZ.2025.4.121Keywords:
planning, distributed systems, grid, resources, heterogeneous systemsAbstract
The article presents an intelligent approach to the problem of scheduling computing tasks in a distributed environment taking into account the concept of admissible load balance. The proposed model combines the principles of multi-criteria optimization and machine learning for adaptive resource allocation between system nodes. The introduction of an admissibility coefficient allows you to dynamically limit the set of machines available for performing a specific task, which increases the efficiency of capacity use and reduces task waiting time. The developed approach takes into account various efficiency criteria — productivity, load balance, and scheduling stability — and can be implemented in grid and cloud infrastructures. Experimental results demonstrate that the use of intelligent algorithms allows you to achieve an optimal compromise between system performance and uniform loading of computing resources.Downloads
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Copyright (c) 2025 Viacheslav Radchenko, Yuliia Andrusenko
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
