Knowledge-Driven Multi-Objective Evolutionary Scheduling Algorithm for Cloud Workflows

Knowledge-Driven Multi-Objective Evolutionary Scheduling Algorithm for Cloud Workflows

Cloud workflow scheduling often encounters two conflicting optimization objectives of makespan and monetary cost, and is a representative multi-objective optimization problem (MOP). Its challenges mainly come from three aspects: 1) a large number of tasks in a workflow cause large-scale decision var...

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Bibliographic Details
Main Authors: Ya Zhou, Xiaobo Jiao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Cloud computing
workflow scheduling
multi-objective optimization
evolutionary algorithm
Online Access:https://ieeexplore.ieee.org/document/9664570/

Internet

https://ieeexplore.ieee.org/document/9664570/

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