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.

论文《V8s：面向智能车辆的可边缘/云部署容器编排系统（Kubernetes）任务卸载框架》相关配图的补充数据集已发布于本页面。您可下载包含如下内容的压缩包：

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.csv
latency/
├── 5g.csv（采用5GTN连接访问边缘服务器时的测试数据）
├── edge.csv（采用WiFi与VPN连接访问边缘服务器时的测试数据）
└── rahti-cloud.csv（采用WiFi连接访问Rahti平台时的测试数据）

本数据集包含两个子文件夹：其一用于存储通过5G与WiFi连接各类资源时的延迟信息；其二用于存储在多种执行环境下，依托V8s框架运行两类已实现应用——目标识别与人脸检测——的执行时长数据。

数据集总大小约为209 MiB。