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Open Access

Correction

Correction: E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers

  • Vaneet Kumar,
  • Aleem Ali,
  • Payal Mittal,
  • Ibrahim Aqeel,
  • Mohammed Shuaib,
  • Shadab Alam,
  • Mohammed Y. Aalsalem

The articles cited as References 7, 9 and 28 were erroneously included and should not be cited in the article [1], and Reference 10 is not appropriate.

The replacement references for 7, 9, 10 and 28 are cited here as [2–5], respectively.

The authors apologize for the errors in the published article [1].

References

  1. 1. Kumar V, Ali A, Mittal P, Aqeel I, Shuaib M, Alam S, et al. E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers. PLoS One. 2024;19(6):e0303313. pmid:38857300
  2. 2. Basmadjian R, Niedermeier F, De Meer H. Modelling and analysing the power consumption of idle servers. In: 2012 Sustainable Internet and ICT for Sustainability (SustainIT); 2012 October 04-05; Pisa, Italy. IEEE; pp. 1-9
    • 3. Mao L, Chen R, Cheng H, Lin W, Liu B, Wang JZ. A resource scheduling method for cloud data centers based on thermal management. J Cloud Comp. 2023;12(1).
    • 4. Ding W, Luo F, Han L, Gu C, Lu H, Fuentes J. Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers. Future Generation Computer Systems. 2020;111:254–70.
    • 5. Zolfaghari R, Sahafi A, Rahmani AM, Rezaei R. Application of virtual machine consolidation in cloud computing systems. Sustainable Computing: Informatics and Systems. 2021;30:100524.

    Citation: Kumar V, Ali A, Mittal P, Aqeel I, Shuaib M, Alam S, et al. (2026) Correction: E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers. PLoS One 21(4): e0346744. https://doi.org/10.1371/journal.pone.0346744

    Published: April 8, 2026

    Copyright: © 2026 Kumar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.