Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers
Abstract
In the last few years, the container-based Cloud computing paradigm has gradually emerged as a flexible approach for energy efficient resource utilization. Cloud providers aim to optimize resource utilization and energy consumption while performing container consolidation, which involves virtual machine (VM) selection and VM placement. Most of the related works focus either on VM selection or VM placement, neglecting the interplay of the two optimization problems. This paper proposes a Two-stage Multi-type Particle Swarm Optimization approach, named TMPSO, to energy-aware container consolidation in Cloud data centers. Our experimental evaluation based on benchmark datasets demonstrates that our proposed algorithm shows further energy saving comparing with some existing approaches.
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Shi et al. [46] designed TMPSO for energy aware consolidation of containers.
“Shi et al. [46] have designed TMPSO, for energy aware consolidation of containers.”
From Energy efficiency in cloud computing data centers: a survey on software technologies (2023) · cites this paper as [46]
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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 · see citing works
“Shi et al. [46] have designed TMPSO, for energy aware consolidation of containers.”
BackgroundA whale optimization system for energy-efficient container placement in data centers
Al-Moalmi, A., Luo, J., Salah, A., Li, K., & Yin, L. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113719 · Cited by 52 · see citing works
Green Containerized Service Consolidation in Cloud
Nath, S. B., Addya, S. K., Chakraborty, S., & Ghosh, S. K. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC) · doi:10.1109/icc40277.2020.9149173 · Cited by 11 · see citing works
- Authors
- Shi, T., Ma, H., & Chen, G.
- Affiliations
- Victoria University of Wellington (NZ)
- Venue
- 2018 IEEE Congress on Evolutionary Computation (CEC)
- Publisher
- IEEE
- Published
- 2018-07
- Pages
- 1-8
- OpenAlex
- W2897536843
- Cited by
- 53
- References
- 25
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 7 · 2023: 10 · 2022: 5 · 2021: 4 · 2020: 14 · 2019: 3
- FWCI
- 4.12
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Congress on Evolutionary Computation (CEC) (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 › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Keywords
- container consolidation, energy-aware resource allocation, cloud data centers, particle swarm optimization, virtual machine placement, virtual machine selection, energy efficiency
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