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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2511.08354 |
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| _version_ | 1866911259564179456 |
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| author | Zhu, H. Samizadeh, T. Sofia, R. C. |
| author_facet | Zhu, H. Samizadeh, T. Sofia, R. C. |
| contents | Autonomous Mobile Robots (AMRs) increasingly adopt containerized micro-services across the Edge-Cloud continuum. While Kubernetes is the de-facto orchestrator for such systems, its assumptions of stable networks, homogeneous resources, and ample compute capacity do not fully hold in mobile, resource-constrained robotic environments.
This paper describes a case study on smart-manufacturing AMRs and performs an initial comparison between CODECO orchestration and standard Kubernetes using a controlled KinD environment. Metrics include pod deployment and deletion times, CPU and memory usage, and inter-pod data rates. The observed results indicate that CODECO offers reduced CPU consumption and more stable communication patterns, at the cost of modest memory overhead (10-15%) and slightly increased pod lifecycle latency due to secure overlay initialization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_08354 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A CODECO Case Study and Initial Validation for Edge Orchestration of Autonomous Mobile Robots Zhu, H. Samizadeh, T. Sofia, R. C. Robotics Emerging Technologies Networking and Internet Architecture Autonomous Mobile Robots (AMRs) increasingly adopt containerized micro-services across the Edge-Cloud continuum. While Kubernetes is the de-facto orchestrator for such systems, its assumptions of stable networks, homogeneous resources, and ample compute capacity do not fully hold in mobile, resource-constrained robotic environments. This paper describes a case study on smart-manufacturing AMRs and performs an initial comparison between CODECO orchestration and standard Kubernetes using a controlled KinD environment. Metrics include pod deployment and deletion times, CPU and memory usage, and inter-pod data rates. The observed results indicate that CODECO offers reduced CPU consumption and more stable communication patterns, at the cost of modest memory overhead (10-15%) and slightly increased pod lifecycle latency due to secure overlay initialization. |
| title | A CODECO Case Study and Initial Validation for Edge Orchestration of Autonomous Mobile Robots |
| topic | Robotics Emerging Technologies Networking and Internet Architecture |
| url | https://arxiv.org/abs/2511.08354 |