Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing

Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing

Workflow Scheduling is a huge challenge in cloud paradigm as many number of workflows dynamically generated from various heterogeneous resources and task dependencies in each workflow varies from each other. Therefore, if a workflow with more number of dependencies is not scheduled onto an appropria...

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Bibliographic Details
Main Authors: Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning
cloud computing
workflow scheduling
task dependencies
makespan
energy consumption
Online Access:https://ieeexplore.ieee.org/document/10382514/
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