Roadside Service Orchestration Across Edge Clusters
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Solution Overview
Problem
Manual deployment of services in roadside edge computing systems is inefficient, prone to errors, and increases workload, hindering the operational efficiency of roadside services.
Innovation Solution
An automated method and device for service deployment in roadside systems using an orchestration server to convert user input into a list file, which is then used to deploy services across multiple clusters and nodes, leveraging a coordinator and cluster agent to streamline the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual deployment of services is performed in roadside edge computing systems, then deployment control and monitoring are maintained, but deployment efficiency decreases and error rate increases
Solution Approach 1:
The system enables automated self-service deployment where the orchestration server automatically converts user input to list files and deploys services across clusters without manual intervention. The deployment process is autonomous, with the system managing its own service installation, configuration, and monitoring across multiple edge computing nodes.
Solution Approach 2:
The orchestration server acts as an intermediary between user input and the deployment execution. It receives deployment requests, converts them into standardized list files, and coordinates the deployment across multiple clusters and nodes, thereby improving efficiency while maintaining controlled deployment through centralized orchestration.
2Productivity
If automated orchestration is implemented for service deployment, then deployment efficiency improves, but system complexity increases
Solution Approach 1:
The orchestration system is segmented into distinct functional modules: user input receiving module, list file conversion module, and deployment execution module. Each module handles a specific aspect of the deployment process, making the overall complex system manageable through clear separation of concerns and modular design.
Solution Approach 2:
The orchestration server provides universal functionality by handling multiple deployment tasks through a single standardized interface. It can deploy various services across different clusters using the same list file format and orchestration mechanism, reducing the need for multiple specialized deployment tools.
Data Source
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AI summary
Examples of the present disclosure relate to methods, devices, edge servers, and computer program products for service deployment. The method includes receiving a user input to deploy a service in a roadside system, wherein the roadside system includes a plurality of clusters located at different roadside locations and edge servers for managing the plurality of clusters. The method further comprises converting the user input into a list file in which the list file indicates a roadside service to be deployed and deployment information related to the roadside service. Further, the method further comprises deploying a roadside service using an orchestration server in the edge server based on the deployment information in the list file. As such, the examples of the present disclosure enable automated service deployment in a roadside system, which avoids the shortage of manual deployment and improves the deployment efficiency and quality of the roadside service, thereby helping improve the overall operational efficiency of the roadside service.