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Journal of Cloud Computing

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

Journal of Cloud Computing volume 12, Article number: 171 (2023) Cite this article

The Original Article was published on 03 December 2022

Journal of Cloud Computing (2022) 11:87

https://doi.org/10.1186/s13677-022-00362-x

The Editor in Chief has retracted this article because Figs. 3, 4, 5, 6 and 7, data Tables 2, 3 and 4, algorithms 1 and 2, as well as conclusions, appear to overlap with a previously published article by a different author [1]. All authors disagree to this retraction.

References

  1. Aibin M (2020) “LSTM for Cloud Data Centers Resource Allocation in Software-Defined Optical Networks,“ 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, USA, pp. 0162–0167, https://doi.org/10.1109/UEMCON51285.2020.9298133

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Authors and Affiliations

  1. Department of Cyber Security and Networks, Glasgow Caledonian University, Cowcaddens RD, Glasgow GA OBA, Glasgow, UK

    Moses Ashawa, Oyakhire Douglas, Jude Osamor & Riley Jackie

Authors
  1. Moses Ashawa
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  2. Oyakhire Douglas
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  3. Jude Osamor
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  4. Riley Jackie
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Corresponding author

Correspondence to Moses Ashawa.

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The online version of the original article can be found at https://doi.org/10.1186/s13677-022-00362-x.

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Ashawa, M., Douglas, O., Osamor, J. et al. Retraction Note: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm. J Cloud Comp 12, 171 (2023). https://doi.org/10.1186/s13677-023-00562-z

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  • DOI: https://doi.org/10.1186/s13677-023-00562-z