A framework for self healing systems
Today’s software systems face significant challenges in maintaining stability in the face of unforeseen disruptions, resulting in substantial costs. Existing self-healing solutions primarily target known or anticipated failures, leaving systems vulnerable to unforeseen states. This project presents...
- Autores:
-
Cerino Pulido, Javier
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/75425
- Acceso en línea:
- https://hdl.handle.net/1992/75425
- Palabra clave:
- Self Healing
Framework
Dynamic
Reinforcement Learning
Scala
Ingeniería
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International