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Open Access

Expression of Concern

Expression of concern: Optimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework

  • The PLOS One Editors

The PLOS One Editors issue this Expression of Concern because this article [1] was identified as one of a series of submissions for which we have concerns about the peer review process. Readers are advised to interpret the article [1] with caution.

The Editors have no evidence of any author involvement in the peer review concerns.

Reference

  1. 1. Cheng B, Li D, Zhu X. Optimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework. PLoS One. 2024;19(12):e0310726. pmid:39671460

Citation: The PLOS One Editors (2026) Expression of concern: Optimizing load scheduling and data distribution in heterogeneous cloud environments using fuzzy-logic based two-level framework. PLoS One 21(3): e0345146. https://doi.org/10.1371/journal.pone.0345146

Published: March 18, 2026

Copyright: © 2026 The PLOS One Editors. 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.