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HPCWMF: A Hybrid Predictive Cloud Workload Management Framework Using Improved LSTM Neural Network Cover

HPCWMF: A Hybrid Predictive Cloud Workload Management Framework Using Improved LSTM Neural Network

Cybernetics and Information Technologies
Volume 20 (2020): Issue 4 (November 2020)
By: K. Dinesh Kumar and  E. Umamaheswari  
Open Access
|Dec 2020
Authors

Authors

K. Dinesh Kumar

kdinesh.kumar2015@vit.ac.in

School of Computer Science and Engineering, VIT University, Chennai, India

E. Umamaheswari

umamaheswari.e@vit.ac.in

School of Computer Science and Engineering, VIT University, Chennai, India
DOI: https://doi.org/10.2478/cait-2020-0047 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 55 - 73
Submitted on: Sep 28, 2020
Accepted on: Oct 29, 2020
Published on: Dec 10, 2020
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Cloud computing,
Improved LSTM neural network,
Multilayer perceptron network,
Opposition-based differential evolution,
Workload prediction
Related subjects:
Computer sciences,
Information technology

© 2020 K. Dinesh Kumar, E. Umamaheswari, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2020): Issue 4 (November 2020)
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