The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
A multi-objective krill herd algorithm for virtual machine placement in cloud computing
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“The techniques include EAGLE algorithm [139], Imperialist competitive algorithm [140], Krill herd algorithm [141].”
From Energy efficiency in cloud computing data centers: a survey on software technologies (2023) · cites this paper as [141]
Citations
Cites
Cloud computing: state-of-the-art and research challenges
Zhang, Q., Lu, C. Z., & Boutaba, R. (2010) · Journal of Internet Services and Applications · doi:10.1007/s13174-010-0007-6 · Cited by 3,539
Cloud computing — The business perspective
Marston, S. R., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2010) · Decision Support Systems · doi:10.1016/j.dss.2010.12.006 · Cited by 2,442
Power provisioning for a warehouse-sized computer
Fan, X., Weber, W.-D., & Barroso, L. A. (2007) · Proceedings - International Symposium on Computer Architecture/Proceedings · doi:10.1145/1250662.1250665 · Cited by 1,869
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Lamont, G. B., & Veldhuizen, D. A. V. (1999) · Cited by 1,212
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Veldhuizen, D. A. V., & Lamont, G. B. (2000) · Evolutionary Computation · doi:10.1162/106365600568158 · Cited by 1,204
Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization.
Schott, J. R. (1995) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 1,016
Hutchison, D., Weikum, G., Vardi, M. Y., et al. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88908-3 · Cited by 990
Dynamic Placement of Virtual Machines for Managing SLA Violations
Bobroff, N., Kochut, A., & Beaty, K. A. (2007) · IFIP/IEEE International Symposium on Integrated Network Management (IM) · doi:10.1109/inm.2007.374776 · Cited by 813
Energy aware consolidation for cloud computing
Srikantaiah, S., Kansal, A., & Zhao, F. (2008) · Cited by 784
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems
Verma, A., Ahuja, P., & Neogi, A. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-89856-6_13 · Cited by 718
Research works printed but not linked: 1
- Bichler M, Setzer T, Speitkamp B (2007) Capacity planning for virtualized servers. In: Social science research network, Rochester, NY, SSRN Scholarly Paper ID 1025862
Cited by
Sorted by citations
Energy efficiency in cloud computing data centers: a survey on software technologies
Katal, A., Dahiya, S., & Choudhury, T. (2023) · Cluster Computing · doi:10.1007/s10586-022-03713-0 · Cited by 516
“The techniques include EAGLE algorithm [139], Imperialist competitive algorithm [140], Krill herd algorithm [141].”
Method
Metadata
- Authors
- Baalamurugan, K. M., & Vijay Bhanu, S.
- Affiliations
- Annamalai University (IN)
- Corresponding author
- Baalamurugan, K. M.
- ORCID
- Baalamurugan, K. M.
- Venue
- The Journal of Supercomputing
- Published
- 2018-08-17
- Volume
- 76
- Issue
- 6
- Pages
- 4525-4542
- ISSN
- 0920-8542 (ISSN-L)
- 1573-0484
- OpenAlex
- W2887651464
- Cited by
- 26
- References
- 52
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 4 · 2022: 4 · 2021: 6 · 2020: 4 · 2019: 2
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Supercomputing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- virtual machine placement, cloud computing, krill herd algorithm, multi-objective optimization, power consumption, resource utilization, Pareto optimal solutions, metaheuristic optimization
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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.
Statistics and arithmetic are recomputed, not judged.
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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: A multi-objective krill herd algorithm for virtual machine placement in cloud computing. https://app.cochat.ai/papers/10.1007/s11227-018-2516-1
- The paper
- Baalamurugan, K. M., & Vijay Bhanu, S. (2020). A multi-objective krill herd algorithm for virtual machine placement in cloud computing. The Journal of Supercomputing. https://doi.org/10.1007/s11227-018-2516-1
