MOSO: multi-objective snake optimizer with density estimation and grid indexing mechanism for edge computing task offloading and scheduling optimization

The proposal of task offloading and scheduling optimization in edge computing aims to effectively alleviate network congestion caused by a large amount of data in ultra-dense networks (UDN), minimize energy consumption during data transmission, reduce transmission latency, and enhance Quality of Ser...

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Vydané v:	Cluster computing Ročník 28; číslo 4; s. 244
Hlavní autori:	Zhang, Shi-Hui, Wang, Jie-Sheng, Zhang, Si-Wen, Xing, Yu-Xuan, Wang, Xiao-Tian, Sui, Xiao-Fei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.08.2025 Springer Nature B.V
Predmet:	Algorithms Cloud computing Computation offloading Computer Communication Networks Computer Science Convexity Costs Data transmission Decision making Deep learning Density Dynamic programming Edge computing Energy consumption Genetic algorithms Indexing Mixed integer Multiple objective analysis Network latency Nonlinear programming Operating Systems Optimization Pareto optimization Processor Architectures Resource scheduling Scheduling Task scheduling User experience Internet of things Snake optimizer Multi-objective optimization Scheduling optimization Task uninstallation Edge computing
ISSN:	1386-7857, 1573-7543
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