Scheduling elastic machine learning process through containers
The following objectives were established for this thesis: • Modification of the resource management scheme within an application/framework to allow dynamic selection of the parallelism of operations (elasticity). • Design and implementation of an internal controller for each container to manage d...
Guardado en:
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| Formato: | Articulo Contribucion a revista |
| Lenguaje: | Inglés |
| Publicado: |
2023
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/159862 |
| Aporte de: |
| Sumario: | The following objectives were established for this thesis:
• Modification of the resource management scheme within an application/framework to allow dynamic selection of the parallelism of operations (elasticity).
• Design and implementation of an internal controller for each container to manage dynamically allocated computational resources, and a communication mechanism between the system and the application confined in the container.
• Design and implementation of a scheduler for containers running elastic applications using orchestration techniques to efficiently manage the computational resources of the system. |
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