Hybrid metaheuristics for selective inference task offloading under time and energy constraints for real-time IoT sensing systems

The recent widespread of AI-powered real-time applications necessitates the use of edge computing for inference task offloading. Power constrained edge devices are required to balance between processing inference tasks locally or offload to edge servers. This decision is determined according to the...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Cluster computing 2024-12, Vol.27 (9), p.12965-12981
Hauptverfasser:	Ben Sada, Abdelkarim, Khelloufi, Amar, Naouri, Abdenacer, Ning, Huansheng, Dhelim, Sahraoui
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial intelligence Computation offloading Computer Communication Networks Computer Science Constraints Decision making Edge computing Energy consumption Energy efficiency Genetic algorithms Heuristic methods Inference Operating Systems Particle swarm optimization Processor Architectures Real time Servers Simulated annealing
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!