[Course Task] task for Class 11 of Cloud Native Edge Computing Course

[RyanZhaoXB]

Hello everyone. This is the task issue for Class 11 of Cloud Native Edge Computing Course.

Today we get 4 tasks for the course participates with Difficulty Level from ★ to ★★★. You can choose one or more tasks to finish them. If a Pull Request (PR) is needed for a task, please make the title of the PR started with [Course Task] and related it to this issue. After you have proposed a PR, please make a comment below this issue. After the PR is merged, your task is confirmed as complete.

Here are the tasks.

• Deploy a KubeEdge Cluster in your own environment and add an edge node to it. Then deploy the sedna component to the cluster. Try to run the demo of Using Joint Inference Service in Helmet Detection Scenario in your own cluster. Paste the screenshot below. Difficulty Level：★
• Find a mistake of the document of KubeEdge and fix it. Or make an optimization of the document of KubeEdge. Please propose a PR to the repository of the document website. Difficulty Level: ★★
• Choose a bug from the bug list and fix it. Difficulty Level：★★★
• Choose a single file in the following directory and complete the UT case to improve the coverage to at least 80%. Please propose a PR to the repository of KubeEdge Difficulty Level: ★★★
  • kubeedge/edge/pkg/edgestream
  • kubeedge/edge/pkg/metamanager
  • kubeedge/edge/pkg/edged

[Piwriw]

Deploy a KubeEdge Cluster in your own environment and add an edge node to it. Then deploy the sedna component to the cluster. Try to run the demo of Using Joint Inference Service in Helmet Detection Scenario in your own cluster. Paste the screenshot below. Difficulty Level：★
Done

[xingleigao]

Deploy a KubeEdge Cluster in your own environment and add an edge node to it. Then deploy the sedna component to the cluster. Try to run the demo of Using Joint Inference Service in Helmet Detection Scenario in your own cluster. Paste the screenshot below. Difficulty Level：★

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1.deploy the sedna component to the cluster

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2. run the demo of Using Joint Inference Service in Helmet Detection Scenario in your own cluster

[Hanzoe]

Deploy a KubeEdge Cluster in your own environment and add an edge node to it. Then deploy the sedna component to the cluster. Try to run the demo of Using Joint Inference Service in Helmet Detection Scenario in your own cluster. Paste the screenshot below. Difficulty Level：★

1.deploy the sedna component to the cluster

2. run the demo of Using Joint Inference Service in Helmet Detection Scenario in your own cluster
   
   

[0LuckyLove0]

[Course Task]Find a mistake of the document (https://kubeedge.io/)of KubeEdge and fix it.https://github.com/kubeedge/website/pull/308

[Hanzoe]

[Course Task]Find a mistake of the document (https://kubeedge.io/)of KubeEdge and fix it.kubeedge/website#311

[sunxiaobei]

Deploy a KubeEdge Cluster in your own environment and add an edge node to it. Then deploy the sedna component to the cluster. Try to run the demo of Using Joint Inference Service in Helmet Detection Scenario in your own cluster. Paste the screenshot below. Difficulty Level：★