Multiworkflow Scheduling in Edge-Cloud Computing by African Vulture Optimization Algorithm

With the ongoing expansion of user demands, the proliferation of application workflows in the cloud has surged. Application service providers concentrate on their fundamental business requirements to enhance service quality. They construct edge-cloud platforms utilizing containers, microservices, an...

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Veröffentlicht in:	2024 11th International Forum on Electrical Engineering and Automation (IFEEA) S. 1426 - 1432
Hauptverfasser:	Wang, Ze, Zhu, Qinghua, Hou, Yan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.11.2024
Schlagworte:	Carbon dioxide Cloud computing Containers edge-cloud computing Heuristic algorithms intelligent optimization algorithms microservice Microservice architectures Optimization Processor scheduling Real-time systems renewable energy Renewable energy sources Virtual machines workflow scheduling
Online-Zugang:	Volltext
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