A Meta-Heuristic Load Balancer for Cloud Computing Systems
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912716056166400 |
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| author | Sliwko, Leszek Getov, Vladimir |
| author_facet | Sliwko, Leszek Getov, Vladimir |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_11721 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Meta-Heuristic Load Balancer for Cloud Computing Systems Sliwko, Leszek Getov, Vladimir Distributed, Parallel, and Cluster Computing Artificial Intelligence 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. |
| title | A Meta-Heuristic Load Balancer for Cloud Computing Systems |
| topic | Distributed, Parallel, and Cluster Computing Artificial Intelligence |
| url | https://arxiv.org/abs/2511.11721 |