Cloud Computing Power Allocation via Scheduling Center
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Solution Overview
Problem
Existing solutions for providing cloud computing power are complex and inflexible, and users face challenges in determining the authenticity and reliability of the cloud computing power provided.
Innovation Solution
A cloud computing power allocation method and system that allows users to request computing power through a user terminal, which is then allocated by a cloud computing power platform to a computing device cluster. The platform configures the target computing device to execute tasks from a computing power scheduling center, and users can acquire real computing power information through the scheduling center.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If cloud computing power is provided through traditional platforms, then computing power allocation is achieved, but the solution complexity remains high and configuration flexibility is poor
Solution Approach 1:
The system segments the cloud computing power provision into distinct functional modules: user terminal for requests, cloud computing power platform for allocation, computing device cluster for execution, and computing power scheduling center for task management. This modular segmentation simplifies each component's complexity while maintaining overall system flexibility through standardized interfaces between modules.
Solution Approach 2:
The system implements dynamic configuration capabilities where the cloud computing power platform can flexibly allocate computing resources based on real-time demands. The configuration instruction sent to the computing device cluster allows dynamic adjustment of computing power allocation, enabling the system to adapt to varying computational requirements without rigid pre-configurations.
2Ease of operation
If cloud computing power is provided remotely, then user management steps are reduced, but it becomes difficult to determine the authenticity and reliability of the computing power
Solution Approach 1:
The computing power scheduling center acts as an intermediary between the cloud computing power platform and the computing device cluster. It receives task information from the platform, allocates tasks to appropriate computing devices, and returns computing power information to verify authenticity. This intermediary mechanism maintains ease of operation for users while ensuring reliability through centralized task management and verification.
Solution Approach 2:
The system implements a feedback loop where the computing power scheduling center returns computing power information to the user terminal based on the computing tasks executed. This feedback mechanism provides users with verifiable information about the authenticity and reliability of the cloud computing power, including details about the computing devices that executed their tasks, thereby building trust in the remote computing service.
Data Source
AI summary
Provided are a cloud computing power allocation method, a user terminal, a cloud computing power platform, and a system. The method includes: generating a computing power request including a computing power demand and account information of a computing power scheduling center; sending the computing power request to a cloud computing power platform, so that the cloud computing power platform sends a configuration instruction to a computing device cluster according to the computing power request, where the configuration instruction is to allocate to the user terminal a target computing device meeting the computing power demand from the computing device cluster and configure based on the account information the target computing device to execute a computing task issued by the computing power scheduling center; and acquiring from the computing power scheduling center computing power information determined according to a computing result from the target computing device, by using the account information.