Algorithm for Load Balancing of a Data Processing Center Based on a Nonlinear Forecast Model
The purpose of the article is to increase the efficiency of the cloud data center load distribution and balancing system by developing and applying a mechanism for predicting network traffic conditions characterized by fractal self-similarity. When developing the predictive model, methods of nonline...
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| Autori principali: | , , , , , |
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| Natura: | Статья |
| Lingua: | English |
| Pubblicazione: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Soggetti: | |
| Accesso online: | https://dspace.ncfu.ru/handle/123456789/29324 |
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