Optimization of datacenter selection through a genetic algorithm-driven service broker policy
Abstract Establishing an optimal datacenter selection policy within the cloud environment is paramount to maximize the performance of the cloud services. Service broker policy governs the selection of datacenters for user requests. In our research, we introduce an innovative approach incorporating t...
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| Main Authors: | Shusmoy Chowdhury, Ajay Katangur, Alaa Sheta |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
|
| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-024-00719-4 |
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