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

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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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