A whale optimization system for energy-efficient container placement in data centers
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Al-Moalmi et al. [50] proposed an algorithm based on Whale Optimization Algorithm to solve container placement and VM placement in CaaS environment.
“Apart from this, Al-Moalmi et al. [50] have addressed the issues related to the placement of container and VM in Container as a Service (CaaS) environment by considering the optimization of the power consumption and resource utilization. They proposed an algorithm based on the Whale Optimization Algorithm (WOA) to solve the two problems that are container placement and VM placement.”
From Energy efficiency in cloud computing data centers: a survey on software technologies (2023) · cites this paper as [50]
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- Authors
- Al-Moalmi, A., Luo, J., Salah, A., Li, K., & Yin, L.
- Affiliations
- Hunan University (CN)
- Corresponding author
- Luo, Juan
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 164
- Pages
- 113719
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W3045685641
- Cited by
- 52
- References
- 59
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 11 · 2023: 14 · 2022: 10 · 2021: 6
- FWCI
- 7.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- Funders
- National Defense Basic Scientific Research Program of China
- National Natural Science Foundation of China
- 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 › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Keywords
- container placement, virtual machine placement, whale optimization algorithm, container as a service, data center energy efficiency, power consumption minimization, resource utilization, heterogeneous hardware, multi-objective optimization
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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