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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.20340 |
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| _version_ | 1866915511631085568 |
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| author | Kurafeeva, Liubov Subedi, Alan Hartung, Ryan Fay, Michael Biswas, Avhishek Jha, Shantenu Kilic, Ozgur O. Krintz, Chandra Merzky, Andre Thain, Douglas Vuran, Mehmet C. Wolski, Rich |
| author_facet | Kurafeeva, Liubov Subedi, Alan Hartung, Ryan Fay, Michael Biswas, Avhishek Jha, Shantenu Kilic, Ozgur O. Krintz, Chandra Merzky, Andre Thain, Douglas Vuran, Mehmet C. Wolski, Rich |
| contents | Advanced scientific applications require coupling distributed sensor networks with centralized high-performance computing facilities. Citrus Under Protective Screening (CUPS) exemplifies this need in digital agriculture, where citrus research facilities are instrumented with numerous sensors monitoring environmental conditions and detecting protective screening damage. CUPS demands access to computational fluid dynamics codes for modeling environmental conditions and guiding real-time interventions like water application or robotic repairs. These computing domains have contrasting properties: sensor networks provide low-performance, limited-capacity, unreliable data access, while high-performance facilities offer enormous computing power through high-latency batch processing. Private 5G networks present novel capabilities addressing this challenge by providing low latency, high throughput, and reliability necessary for near-real-time coupling of edge sensor networks with HPC simulations. This work presents xGFabric, an end-to-end system coupling sensor networks with HPC facilities through Private 5G networks. The prototype connects remote sensors via 5G network slicing to HPC systems, enabling real-time digital agriculture simulation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_20340 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | xGFabric: Coupling Sensor Networks and HPC Facilities with Private 5G Wireless Networks for Real-Time Digital Agriculture Kurafeeva, Liubov Subedi, Alan Hartung, Ryan Fay, Michael Biswas, Avhishek Jha, Shantenu Kilic, Ozgur O. Krintz, Chandra Merzky, Andre Thain, Douglas Vuran, Mehmet C. Wolski, Rich Distributed, Parallel, and Cluster Computing Advanced scientific applications require coupling distributed sensor networks with centralized high-performance computing facilities. Citrus Under Protective Screening (CUPS) exemplifies this need in digital agriculture, where citrus research facilities are instrumented with numerous sensors monitoring environmental conditions and detecting protective screening damage. CUPS demands access to computational fluid dynamics codes for modeling environmental conditions and guiding real-time interventions like water application or robotic repairs. These computing domains have contrasting properties: sensor networks provide low-performance, limited-capacity, unreliable data access, while high-performance facilities offer enormous computing power through high-latency batch processing. Private 5G networks present novel capabilities addressing this challenge by providing low latency, high throughput, and reliability necessary for near-real-time coupling of edge sensor networks with HPC simulations. This work presents xGFabric, an end-to-end system coupling sensor networks with HPC facilities through Private 5G networks. The prototype connects remote sensors via 5G network slicing to HPC systems, enabling real-time digital agriculture simulation. |
| title | xGFabric: Coupling Sensor Networks and HPC Facilities with Private 5G Wireless Networks for Real-Time Digital Agriculture |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2509.20340 |