Supplementary Dataset for V8s: An Edge/Cloud Deployable Kubernetes Task Offloading Framework for Smart Vehicles

The supplementary dataset related to the plots in the paper "V8s: An Edge/Cloud Deployable Kubernetes Task Offloading Framework for Smart Vehicles" is published on this page. You can download the zip file with the following contents: exec-time/├── edge-face-detect.csv├── edge-object-recognition.csv├── nano-face-detect.csv├── nano-gpu-object-recognition.csv├── nano-object-recognition.csv├── rahti-face-detect.csv├── rahti-object-recognition.csv├── rahti2-face-detect.csv├── rahti2-object-recognition.csv├── ras-face-detect.csv└── ras-object-recognition.csvlatency/├── 5g.csv (when accessing the edge server using 5GTN connectivity)├── edge.csv (when accessing the edge server using WiFi and VPN)└── rahti-cloud.csv (when accessing the Rahti using WiFi) There are two folders in the dataset, one is for the latency information when using 5G connection and WiFi connection when using the resources. The other folder is for the execution time of the two implemented applications --- object recognition and face detection --- using the V8s framework in various execution environments. The file size is about 209 MiB.