| Titre : | Une stratégie de réplication dynamique basée sur l’apprentissage automatique. |
| Auteurs : | Limam Said, Directeur de thèse ; DHAIF Mouna, Acteur |
| Type de document : | texte imprimé |
| Editeur : | univ DR taher moulay saida, 2023/2024 |
| Format : | 79 p / ill / 29 cm |
| Accompagnement : | CD rom |
| Langues: | Français |
| Catégories : | |
| Mots-clés: | Fog Computing ; Cloud Computing ; Machine Learning ; Replication ; iFogSim. |
| Résumé : |
Cloud Computing is renowned for its high performance and cost- effectiveness, while Fog Computing stands out for its proximity to connected devices, facilitating data storage and analysis. Data repli- cation emerges as a crucial solution to enhance both availability and performance. In this study, we propose a data replication strategy integrating ma- chine learning, optimizing the management of distributed resources and data. We offer two distinct solutions : the first is centralized, le- veraging the cloud for global data classification ; the second is distri- buted, sharing responsibilities among fog nodes, enhancing system resilience against failures and reducing network latencies. We expanded the iFogSim simulator to evaluate our strategy. Simu- lation results on iFogSim confirm the effectiveness of our approach, showing significant improvements not only in execution times but also in energy consumption and bandwidth usage |
| Note de contenu : |
Chapter 1: Le Cloud ET Le Fog Computing Chapter 2: La Réplications Dans Le Cloud Et Le Fog Computing Chapter 3: Stratégie Proposée Chapter 4: IMPLEMENTATION |
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Documents numériques (1)
Une stratégie de réplication dynamique basée sur l’apprentissage automatique. Adobe Acrobat PDF |
