The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
An intelligent virtual machine allocation optimization model for energy-efficient and reliable cloud environment
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Furthermore, certain models-like GRVMP [46] and EER-VMP [47]-ignored memory resource waste, therefore restricting their usefulness in practical settings.”
From Carbon-Aware, Energy-Efficient, and SLA-Compliant Virtual Machine Placement in Cloud Data Centers Using Deep Q-Networks and Agglomerative Clustering (2025) · cites this paper as [47]
Citations
Cites
The NIST definition of cloud computing
Mell, P. M., & Grance, T. (2011) · doi:10.6028/nist.sp.800-145 · Cited by 11,795
Dynamic voltage scaling with links for power optimization of interconnection networks
Shang, L., Peh, L.-S., & Jha, N. K. (2003) · The Ninth International Symposium on High-Performance Computer Architecture, 2003. HPCA-9 2003. Proceedings. · doi:10.1109/hpca.2003.1183527 · Cited by 455
Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures
Jung, G., Hiltunen, M. A., Joshi, K. R., Schlichting, R. D., & Pu, C. (2010) · 2010 IEEE 30th International Conference on Distributed Computing Systems · doi:10.1109/icdcs.2010.88 · Cited by 299
Solving Rotated Multi-objective Optimization Problems Using Differential Evolution
Iorio, A. W., & Li, X. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30549-1_74 · Cited by 263
Tseng, F.-H., Wang, X., Chou, L.-D., Chao, H.-C., & Leung, V. C. M. (2018) · IEEE Systems Journal · doi:10.1109/jsyst.2017.2722476 · Cited by 202
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud
Saxena, D., Kumar, J., Singh, A. K., & Schmid, S. (2023) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2023.3240567 · Cited by 162
Self-citationReliability and energy efficiency in cloud computing systems: Survey and taxonomy
Sharma, Y., Javadi, B., Si, W., & Sun, D. W. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.08.010 · Cited by 161
Saxena, D., Singh, A. K., & Buyya, R. (2021) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2021.3059096 · Cited by 140
Self-citationMulti-Objective Energy Efficient Virtual Machines Allocation at the Cloud Data Center
Sharma, N. K., & Reddy, G. R. M. (2016) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2016.2596289 · Cited by 137
A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center
Saxena, D., Gupta, I., Kumar, J., Singh, A. K., & Wen, X. (2021) · IEEE Systems Journal · doi:10.1109/jsyst.2021.3092521 · Cited by 132
Self-citation
Research works printed but not linked: 1
- Swain SR, Saxena D, Kumar J, Singh AK, Lee C-N (2024) An intelligent straggler traffic management framework for sustainable cloud environments. IEEE Trans Sustain Comput 1–13. https://doi.org/10.1109/TSUSC.2024.3393357 · DOI
Cited by
Safari, A., Sorouri, H., Rahimi, A., & Oshnoei, A. (2025) · Electronics · doi:10.3390/electronics14112214 · Cited by 48
Kim, J., Kim, J., Sovacool, B. K., Griffiths, S., Bazilian, M., Creutzig, F., Rio, D. D. F. D., Agarwala, M., Choi, M., & Debnath, R. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.116861 · Cited by 24
Alex, M., Ojo, S. O., & Awuor, F. M. (2025) · Computers · doi:10.3390/computers14070280 · Cited by 22
Angelis, A., & Kousiouris, G. (2025) · Future Internet · doi:10.3390/fi17100434 · Cited by 21
Mohammed, A. S., Rajkumar, N. S., Mohammed, A. K., Neravetla, A. R., Gupta, K. P., & Yuvaraj, N. (2025) · International Conference Trends Material Science and Inventive Materials · doi:10.1109/ictmim65579.2025.10987998 · Cited by 10
Metadata
- Authors
- Swain, S. R., Parashar, A., Singh, A. K., & Lee, C. N.
- Affiliations
- National Institute of Technology Kurukshetra (IN)
- National Sun Yat-sen University (TW)
- Corresponding author
- Swain, Smruti Rekha
- Venue
- The Journal of Supercomputing
- Published
- 2024-12-04
- Volume
- 81
- Issue
- 1
- ISSN
- 0920-8542 (ISSN-L)
- 1573-0484
- OpenAlex
- W4405013249
- Cited by
- 21
- References
- 32
- Citations by year
- 2026: 10 · 2025: 11
- FWCI
- 7.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- The Journal of Supercomputing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
- Keywords
- virtual machine placement, energy efficiency, cloud data centers, resource prediction, self-adaptive differential evolution, feedforward neural networks, fault tolerance, system reliability, energy consumption reduction
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An intelligent virtual machine allocation optimization model for energy-efficient and reliable cloud environment. https://app.cochat.ai/papers/10.1007/s11227-024-06734-1
- The paper
- Swain, S. R., Parashar, A., Singh, A. K., & Lee, C. N. (2025). An intelligent virtual machine allocation optimization model for energy-efficient and reliable cloud environment. The Journal of Supercomputing. https://doi.org/10.1007/s11227-024-06734-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
