Optimal Cloud Resource Selection Method Considering Hard and Soft Constraints and Multiple Conflicting Objectives-Reference-Cited by-同舟云学术

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Optimal Cloud Resource Selection Method Considering Hard and Soft Constraints and Multiple Conflicting Objectives

Published:2018-07 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 11th International Conference on Cloud Computing (CLOUD)
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Author:

Powell Courtney,Miura Katsunori,Munetomo Masaharu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8457546/8457768/08457883.pdf?arnumber=8457883

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Provision of Workload Allocation on Cloud Resources Using Machine Learning Techniques;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

2. Many-Constraint and Many-Objective optimization with Bias Index for Intercloud Multi-Workflow Resource Provisioning;2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS);2022-11-29

3. A2Cloud-cc: A Machine Learning Council to Guide Cloud Resource Selection for Scientific Applications;2020 IEEE 19th International Symposium on Network Computing and Applications (NCA);2020-11-24

4. A2Cloud‐RF : A random forest based statistical framework to guide resource selection for high‐performance scientific computing on the cloud;Concurrency and Computation: Practice and Experience;2020-07-22

5. DDBJ Database updates and computational infrastructure enhancement;Nucleic Acids Research;2019-11-14

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