Energy-latency trade-off analysis for scientific workflow in cloud environments: The role of processor utilization ratio and mean grey wolf optimizer

Khaleel, Mustafa Ibrahim; Safran, Mejdl; Alfarhood, Sultan; Zhu, Michelle

doi:10.1016/j.jestch.2023.101611

Engineering Science and Technology, an International Journal

2024

DOI: 10.1016/j.jestch.2023.101611

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Energy-latency trade-off analysis for scientific workflow in cloud environments: The role of processor utilization ratio and mean grey wolf optimizer

Mustafa Ibrahim Khaleel,

Mejdl Safran,

Sultan Alfarhood

et al.

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Enhancing the resilience of error-prone computing environments using a hybrid multi-objective optimization algorithm for edge-centric cloud computing systems

Khaleel

2024

Neural Comput & Applic

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Enhancing the resilience of error-prone computing environments using a hybrid multi-objective optimization algorithm for edge-centric cloud computing systems

Khaleel

2024

Neural Comput & Applic

View full text Add to dashboard Cite

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Energy-latency trade-off analysis for scientific workflow in cloud environments: The role of processor utilization ratio and mean grey wolf optimizer

Cited by 1 publication

References 35 publications

Enhancing the resilience of error-prone computing environments using a hybrid multi-objective optimization algorithm for edge-centric cloud computing systems

Enhancing the resilience of error-prone computing environments using a hybrid multi-objective optimization algorithm for edge-centric cloud computing systems

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