Container Orchestration Patterns for Optimizing Resource Use
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866908571070889984 |
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| author | Maia, Diogo Correia, Filipe Restivo, André Queiroz, Paulo |
| author_facet | Maia, Diogo Correia, Filipe Restivo, André Queiroz, Paulo |
| contents | Service-based architectures provide substantial benefits, yet service orchestration remains a challenge, particularly for newcomers. While various resources on orchestration techniques exist, they often lack clarity and standardization, making best practices difficult to implement and limiting their adoption within the software industry.
To address this gap, we analyzed existing literature and tools to identify common orchestration practices. Based on our findings, we define three key orchestration resource optimization patterns: {\sc Preemptive Scheduling}, {\sc Service Balancing}, and {\sc Garbage Collection}. {\sc Preemptive Scheduling} allows the allocation of sufficient resources for services of higher priority in stressful situations, while {\sc Service Balancing} enables a restructuring of the nodes to allow better resource usage. To end, {\sc Garbage Collection} creates cleanup mechanisms to better understand the system's resource usage and optimize it. These patterns serve as foundational elements for improving orchestration practices and fostering broader adoption in service-based architectures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_00197 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Container Orchestration Patterns for Optimizing Resource Use Maia, Diogo Correia, Filipe Restivo, André Queiroz, Paulo Software Engineering D.2.11 Service-based architectures provide substantial benefits, yet service orchestration remains a challenge, particularly for newcomers. While various resources on orchestration techniques exist, they often lack clarity and standardization, making best practices difficult to implement and limiting their adoption within the software industry. To address this gap, we analyzed existing literature and tools to identify common orchestration practices. Based on our findings, we define three key orchestration resource optimization patterns: {\sc Preemptive Scheduling}, {\sc Service Balancing}, and {\sc Garbage Collection}. {\sc Preemptive Scheduling} allows the allocation of sufficient resources for services of higher priority in stressful situations, while {\sc Service Balancing} enables a restructuring of the nodes to allow better resource usage. To end, {\sc Garbage Collection} creates cleanup mechanisms to better understand the system's resource usage and optimize it. These patterns serve as foundational elements for improving orchestration practices and fostering broader adoption in service-based architectures. |
| title | Container Orchestration Patterns for Optimizing Resource Use |
| topic | Software Engineering D.2.11 |
| url | https://arxiv.org/abs/2510.00197 |