A discrete dwarf mongoose optimization algorithm to solve task assignment problems on smart farms

In this study, we propose a novel cloud-edge collaborative task assignment model for smart farms that consists of a cloud server, m edge servers, and n sensors. The edge servers rely solely on solar-generated energy, which is limited, whereas the cloud server has access to a limitless amount of ener...

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Veröffentlicht in:	Cluster computing Jg. 27; H. 5; S. 6185 - 6204
Hauptverfasser:	Xu, Minzhi, Li, Weidong, Zhang, Xuejie, Su, Qian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2024 Springer Nature B.V
Schlagworte:	Algorithms Approximation Cloud computing Collaboration Computer centers Computer Communication Networks Computer Science Convex analysis Deep learning Edge computing Energy consumption Heuristic Mathematical models Mathematical programming Neural networks Operating Systems Optimization Optimization algorithms Processor Architectures Scheduling Sensors Servers Smart grid Smart sensors Task scheduling Cloud-edge collaborative Dwarf mongoose algorithm Unsplittable Approximation algorithm Heavy tasks
ISSN:	1386-7857, 1573-7543
Online-Zugang:	Volltext
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