| Titre : | End-to-End latency reduction techniques for delay-sensitive applications in satellite-based edge computing networks | | Type de document : | document multimédia | | Auteurs : | Fatima Zahra Zaoui, Auteur ; Messaoud Babaghayou, Directeur de thèse | | Editeur : | Laghouat : Université Amar Telidji - Département d'informatique | | Année de publication : | 2025 | | Importance : | 67 p. | | Accompagnement : | CD ROM | | Note générale : | Option : Networks,systems and distributed applications | | Langues : | Anglais | | Mots-clés : | Satellite Edge Computing Task Offloading End-to-End Latency Mist Layer Intelligent orchestration Delay-sensitive applications | | Résumé : | With the advent of satellite-edge convergence, which is transforming distributed computing to make services real-time and intelligent, the management of task offloading more efficiently is more important than before.This work addresses the issue of minimizing the end-to-end delay for delay-critical applications in satellite-fueled mist computing systems.
This work formulates a new task orchestration algorithm named IsoLink, which was specifically developed and tuned for mist-layer offloading and optimized to classify tasks based on context and assign them wisely to the appropriate virtual machines.IsoLink functions by normalizing the delay and execution parameters, taking into account the type and resource proximity to the task, to enable optimal deployment. By simulating comprehensively using the SatEdgeSim framework, the algorithm performed well in terms of reduced latency, energy savings, and enhanced task success ratio. The evaluation was conducted across various performance metrics and also compared with algorithms such as the Weighte_Greedy, Round_Robin, and Random_VM, and proved the efficacy of IsoLink. Although the method is well-suited for services requiring low latency, future improvements make satellite mist computing environments more adaptive and efficient in operation. | | note de thèses : | Mémoire de master en informatique |
End-to-End latency reduction techniques for delay-sensitive applications in satellite-based edge computing networks [document multimédia] / Fatima Zahra Zaoui, Auteur ; Messaoud Babaghayou, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2025 . - 67 p. + CD ROM. Option : Networks,systems and distributed applications Langues : Anglais | Mots-clés : | Satellite Edge Computing Task Offloading End-to-End Latency Mist Layer Intelligent orchestration Delay-sensitive applications | | Résumé : | With the advent of satellite-edge convergence, which is transforming distributed computing to make services real-time and intelligent, the management of task offloading more efficiently is more important than before.This work addresses the issue of minimizing the end-to-end delay for delay-critical applications in satellite-fueled mist computing systems.
This work formulates a new task orchestration algorithm named IsoLink, which was specifically developed and tuned for mist-layer offloading and optimized to classify tasks based on context and assign them wisely to the appropriate virtual machines.IsoLink functions by normalizing the delay and execution parameters, taking into account the type and resource proximity to the task, to enable optimal deployment. By simulating comprehensively using the SatEdgeSim framework, the algorithm performed well in terms of reduced latency, energy savings, and enhanced task success ratio. The evaluation was conducted across various performance metrics and also compared with algorithms such as the Weighte_Greedy, Round_Robin, and Random_VM, and proved the efficacy of IsoLink. Although the method is well-suited for services requiring low latency, future improvements make satellite mist computing environments more adaptive and efficient in operation. | | note de thèses : | Mémoire de master en informatique |
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Machine learning for link prediction in complex networks / Messaoud Babaghayou
