A Meta-Heuristic Load Balancer for Cloud Computing Systems

Leszek Sliwko, Vladimir Getov

A Meta-Heuristic Load Balancer for Cloud Computing Systems: 1 upvotes on Hugging Face Daily Papers, #22 of 23 papers on 2025-11-17. Day-by-day upvote history.

This paper presents a strategy to allocate services on a Cloud system without overloading nodes and maintaining the system stability with minimum cost. We specify an abstract model of cloud resources utilization, including multiple types of resources as well as considerations for the service migration costs. A prototype meta-heuristic load balancer is demonstrated and experimental results are presented and discussed. We also propose a novel genetic algorithm, where population is seeded with the outputs of other meta-heuristic algorithms.

Paper page on Hugging Face · arXiv

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