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An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy.

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第一作者： Roqia,Rateb

第一单位： Department of Computer Science, College of Information Technology, Al-Ahliyya Amman University, Amman, Jordan.

作者： Roqia,Rateb ^[1] ; Ahmed Adnan,Hadi ^[2] ; Venkata Mohit,Tamanampudi ^[3] ; Laith,Abualigah ^[4] ; Absalom E,Ezugwu ^[5] ; Ahmed Ibrahim,Alzahrani ^[6] ; Fahad,Alblehai ^[6] ; Heming,Jia ^[7]

作者单位： Department of Computer Science, College of Information Technology, Al-Ahliyya Amman University, Amman, Jordan. ^[1] Artificial Intelligence Sciences Department, College of Sciences, Al-Mustaqbal University, 51001, Babil, Iraq. ^[2] JPMorgan Chase, New York, USA. ^[3] Computer Science Department, Al Al-Bayt University, Mafraq, 25113, Jordan. aligah.2020@gmail.com.;Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India. aligah.2020@gmail.com. ^[4] Unit for Data Science and Computing, North-West University, 11 Hofman Street, Potchefstroom, 2520, South Africa. Absalom.ezugwu@nwu.ac.za. ^[5] Computer Science Department, Community College, King Saud University, 11437, Riyadh, Saudi Arabia. ^[6] School of Information Engineering, Sanming University, Sanming, 365004, China. ^[7]

关键词 Aquila-Salp Swarm Algorithm Dynamic Voltage Frequency Scaling Fog-cloud computing Workflow scheduling

DOI 10.1038/s41598-025-86814-1

PMID 39875513

发布时间 2025-01-31

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