A Meta-Heuristic Load Balancer for Cloud Computing Systems
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.
691bd6f66bfd5965c0fd37a2
Leszek Sliwko
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2025-11-18T14:08:26.723Z
68c90f3b622d9314451ff9ff
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Leszek Sliwko
lsliwko
user
lsliwko
691bd6f66bfd5965c0fd37a3
Vladimir Getov
A Meta-Heuristic Load Balancer for Cloud Computing Systems
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.