Automated Resource Provisioning Policy for Data Center Allocation
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Solution Overview
Problem
Resource provisioning in enterprise data centers is inefficient due to multiple approval and execution steps, which are time-consuming and complex, especially as the complexity of requests increases.
Innovation Solution
A computer-implemented method and system that generates a resource provisioning policy based on historical request data, automatically approves or denies resource allocation requests by applying predefined policy parameters, and updates the policy accordingly, enabling self-service and reducing the need for custodian intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual approval processes are used for resource provisioning, then control and authorization are maintained, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system enables self-service resource provisioning by automatically evaluating requests against predefined policies. The resource provisioning system autonomously approves or denies requests without requiring manual custodian intervention, allowing the system to serve itself while maintaining control through policy-based decision-making.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring resource allocation outcomes and updating policy parameters accordingly. This allows the system to learn from past decisions and improve its automated approval process while maintaining appropriate control levels through adaptive policy adjustment.
2Reliability
If multiple approval steps are implemented, then authorization control is ensured, but operational efficiency decreases
Solution Approach 1:
The approval process is segmented into automated policy evaluation and manual custodian review components. The system automatically handles routine requests that meet policy criteria, while only exceptional cases requiring human judgment are escalated to custodians, thereby maintaining authorization control while significantly improving operational efficiency.
Solution Approach 2:
The system changes the parameters of the approval process by introducing dynamic policy parameters such as maximum allocation percentages and utilization thresholds. These parameter-based decisions enable automated approval for standard cases, improving productivity while maintaining control through configurable policy parameters.
3Speed
If automated policy-based approval is used, then processing speed increases, but policy complexity must be managed
Solution Approach 1:
The policy framework is designed to be universal and multi-functional, handling various resource types and approval scenarios through a single unified policy structure. This reduces the perceived complexity by providing a consistent approach across different resource provisioning contexts while maintaining high processing speed through automated evaluation.
4Adaptability or versatility
If manual resource provisioning is performed, then flexibility in decision-making is maintained, but the process becomes complex and time-consuming
Solution Approach 1:
The system combines dynamic automated policy evaluation with flexible manual custodian intervention. The automation handles standard cases with predefined policies, while maintaining the flexibility for custodians to override decisions or handle exceptional cases, thereby reducing process complexity while preserving adaptability.
Data Source
AI summary
Systems and methods for resource provisioning are disclosed. A method includes: generating, by a computer device, a resource provisioning policy for a resource; receiving, by the computer device, a request for an allocation of the resource from an account; applying, by the computer device, the resource provisioning policy to the request based on receiving the request; automatically approving or denying, by the computer device, the request based on the applying the resource provisioning policy to the request; updating, by the computer device, the resource provisioning policy for the account based on the automatic approving or denying the request.