Multi-objective optimization for the performance of task scheduling in homogeneous fog networks

The purpose is to accurately assess fog networks’ overall energy efficiency and spectrum efficiency. This model analyzes the tradeoff between performance improvements and energy consumption in joint task scheduling. The main contribution of this work is the development of an optimized job scheduling...

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Veröffentlicht in:	Cluster computing Jg. 28; H. 12; S. 796
Hauptverfasser:	Momeny, Sajjad, Robatmily, Mohamad, Rahmani, Amir Masoud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2025 Springer Nature B.V
Schlagworte:	Algorithms Computer Communication Networks Computer Science Current modulation Edge computing Energy consumption Energy efficiency Internet of Things Mathematical analysis Multiple objective analysis Networks Nodes Operating Systems Optimization Processor Architectures Quadratic programming Quality of service Resource utilization Task scheduling Multi-objective optimization Augmented lagrangian SQP algorithm Fog networks IoT
ISSN:	1386-7857, 1573-7543
Online-Zugang:	Volltext
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