DeepWS: Dynamic Workflow Scheduling in Heterogeneous Cloud Clusters with Edge-Aware Reinforcement Learning and Graph Convolution Networks
Author:
Affiliation:
1. East China Normal University,Software Engineering Institute,Shanghai,China
2. East China Normal University,Computer Science & Technology Institute,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10498130/10498125/10498440.pdf?arnumber=10498440
Reference17 articles.
1. Cloud Computing: The New World of Technology
2. A New Service Mechanism for Profit Optimizations of a Cloud Provider and Its Users
3. Online scheduling of dependent tasks of cloud’s workflows to enhance resource utilization and reduce the makespan using multiple reinforcement learning-based agents
4. Task scheduling of cloud computing based on Improved CHC algorithm
5. A reactive search optimization algorithm for scientific workflow scheduling using clustering techniques
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