Toward optimizing scientific workflow using multi-objective optimization in a cloud environment

Toward optimizing scientific workflow using multi-objective optimization in a cloud environment

AbstractScientific workflows are a common and critical part of scientific computing, involving complex computations and oversized and distributed computing resources. Efficient workflow execution requires scheduling algorithms considering task dependencies, resource requirements, and deadlines. Clou...

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Bibliographic Details
Main Authors: Shabina Ghafir, M. Afshar Alam, Farheen Siddiqui, Sameena Naaz, Shahab Saquib Sohail, Dag Øivind Madsen
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Engineering
Subjects:
workflow scheduling
load balancing
Artificial Intelligence
optimization
ranking
ChatGPT
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2023.2287303

Internet

https://www.tandfonline.com/doi/10.1080/23311916.2023.2287303

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