Multi-Swarm PSO Algorithm for Static Workflow Scheduling in Cloud-Fog Environments

Multi-Swarm PSO Algorithm for Static Workflow Scheduling in Cloud-Fog Environments

Scientific workflow scheduling involves the allocation of workflow tasks to particular computational resources. The generation of optimal solutions to reduce run-time, cost, and energy consumption, as well as ensuring proper load balancing, remains a major challenge. Therefore, this work presents a...

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Bibliographic Details
Main Authors: Dineshan Subramoney, Clement N. Nyirenda
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Scientific workflows
cloud computing
fog computing
particle swarm optimization
evolutionary algorithms
Online Access:https://ieeexplore.ieee.org/document/9940620/

Internet

https://ieeexplore.ieee.org/document/9940620/

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