Extended Availability Zone Registration for Hybrid Cloud Deployment
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Solution Overview
Problem
Existing cloud computing systems face inefficiencies and inaccuracies in manual configuration and management of cloud services, particularly in combining the advantages of public and private cloud resources.
Innovation Solution
A Smart Local Compute Cluster (SLCC) is introduced, which allows for automatic registration and deployment of cloud services by integrating a user's local computer room as an extended Availability Zone (AZ) with a public cloud, utilizing an agent and a master to streamline the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration and management of cloud services is used, then flexibility in combining public and private cloud resources is achieved, but inefficiency and inaccuracy occur
Solution Approach 1:
The system enables self-service automation where the cloud service automatically discovers available resources in both public cloud and local computer room, performs self-registration, and completes deployment configuration without manual intervention. The automation agent in the local computer room autonomously registers resources and receives deployment instructions, eliminating manual configuration errors and improving both efficiency and accuracy.
2Reliability
If cloud services are deployed in public cloud only, then ease of management is maintained, but data security and processing speed are compromised
Solution Approach 1:
The system segments cloud service deployment into two distinct parts: sensitive data processing and cloud service management are separated. Data remains processed locally in the user's computer room ensuring security, while the cloud service management and non-sensitive operations run in the public cloud. This segmentation allows data security requirements to be met without requiring full system complexity in the local environment.
Solution Approach 2:
An automation agent acts as an intermediary between the local computer room resources and the public cloud service. This agent simplifies the integration complexity by handling resource discovery, registration, and coordination automatically, allowing seamless connection between local and cloud resources without requiring complex manual configuration or deep technical integration knowledge.
3Productivity
If automatic deployment is implemented, then deployment efficiency is improved, but integration complexity increases
Solution Approach 1:
The automation agent implements self-service functionality by automatically discovering available computing resources in the local computer room, autonomously registering them with the cloud service, and receiving deployment instructions without human intervention. This self-service approach accelerates deployment while keeping integration complexity manageable through automated resource identification and registration processes.
Data Source
AI summary
A cloud computing resource extension method, a Smart Local Compute Cluster (SLCC), and a storage medium are suggested, which relate to the field of artificial intelligence. The method of cloud computing resource extension includes: acquiring registration information of an extended Availability Zone (AZ), the extended AZ being located in a user's local computer room; sending the registration information to a public cloud, the public cloud being configured to register, based on the registration information, the extended AZ with an AZ set managed and controlled by the public cloud and generate deployment information of a target cloud service pre-designated by the user; receiving the deployment information sent by the public cloud; and deploying the target cloud service in the extended AZ based on the deployment information.