Fractional Rider Deep Long Short Term Memory Network for Workload Prediction-Based Distributed Resource Allocation Using Spark in Cloud Gaming

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ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org

"Fractional Rider Deep Long Short Term Memory Network for Workload Prediction-Based Distributed Resource Allocation Using Spark in Cloud Gaming"
written by Koné Kigninman Désiré, Kouassi Adlès Francis, Konan Hyacinthe Kouassi, Eya Dhib, Nabil Tabbane, Olivier Asseu,
published by Engineering, Vol.13 No.3, 2021

has been cited by the following article(s):

[1]	Workload time series cumulative prediction mechanism for cloud resources using neural machine translation technique
	Sayed - Journal of Grid Computing, 2022

[2]	Security analysis method of power monitoring system based on big data technology
	… Symposium on Advances …, 2022

[1]	Deep resource allocation for a massively multiplayer online finance of tourism gamification in metaverse Information Technology & Tourism, 2023 DOI:10.1007/s40558-023-00267-8

[2]	Workload Time Series Cumulative Prediction Mechanism for Cloud Resources Using Neural Machine Translation Technique Journal of Grid Computing, 2022 DOI:10.1007/s10723-022-09607-0

[3]	A Federated Deep Reinforcement Learning-based Approach to Secure Resource Allocation in Power Communication Networks 2022 International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC), 2022 DOI:10.1109/AIIPCC57291.2022.00073

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