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J-GLOBAL ID：202302286903238075   Reference number：23A1077498

Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm

LSTM機械学習アルゴリズムを用いた負荷バランスのための最適化資源配分技術によるクラウド効率の改善【JST・京大機械翻訳】

Author (4)： Ashawa, Moses (Department of Cyber Security and Networks, Glasgow Caledonian University, Glasgow, UK) ,  Douglas, Oyakhire (Department of Cyber Security and Networks, Glasgow Caledonian University, Glasgow, UK) ,  Osamor, Jude (Department of Cyber Security and Networks, Glasgow Caledonian University, Glasgow, UK) ,  Jackie, Riley (Department of Cyber Security and Networks, Glasgow Caledonian University, Glasgow, UK)
Material： Journal of Cloud Computing (Web)
Volume： 11  Issue： 1  Page： 1-17  Publication year： 2022 
JST Material Number： U8300A  ISSN： 2192-113X  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： Allocating resources is crucia...

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Thesaurus term： Monte Carlo method ,  memory(computer) ,  *optimization ,  computer application ,  optimization problem ,  *resource allocation ,  data center ,  tree search ,  computer network ,  application program ,  model ,  throughput ,  distributed processing ,  computer ,  *machine learning
Semi thesaurus term： グリッドコンピューティング ,  クラウドコンピューティング , 【Automatic Indexing@JST】

JST classification (1)： Computer networks  (JC03000K)

Reference (42)：

• Aibin M (2020) LSTM for Cloud Data Centers Resource Allocation in Software-Defined Optical Networks. In: 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, New York, p 0162-0167
• Amazon Web Services (2016) Elastic Compute Cloud (EC2) Cloud Server & Hosting AWS. [Online] Available: https://aws.amazon.com/ec2 . Accessed 20 Apr 2022
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• Aslam S, Shah MA (2015) Load balancing algorithms in cloud computing: A survey of modern techniques. In: 2015 National software engineering conference (NSEC). IEEE, Rawalpindi, p 30-35
• Baeldung (2022) A Guide to DeepLearning4J. [Online] Available at: https://www.baeldung.com/deeplearning4j . Accessed 20 Apr 2022

Terms in the title (7)： LSTM ,  機械学習 ,  アルゴリズム ,  負荷バランス ,  最適化 ,  資源配分 ,  クラウド