Key Service Indicator Templates for Customized Cloud Resource Provisioning
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Solution Overview
Problem
Existing cloud services lack the ability to implement specific business requirements, such as security and availability, due to the use of generic templates, which fail to distinguish between different business characteristics and attributes.
Innovation Solution
A cloud system that utilizes Key Service Indicators (KSI) to associate with cloud service templates, enabling the identification and provisioning of resources tailored to specific business needs, allowing for customized cloud solutions that meet unique organizational goals and optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If generic cloud service templates are used, then service deployment is simplified and standardized, but the ability to meet specific business requirements (security, availability) is lost
Solution Approach 1:
The patent segments the cloud service configuration into two parts: a standardized base template and customizable Key Service Indicators (KSI). The template provides the basic service structure while KSIs allow selective customization of specific service attributes without redesigning the entire service architecture.
Solution Approach 2:
Instead of requiring complete service redesign for customization, the patent applies local quality by allowing customers to customize only specific service attributes (KSIs) that are relevant to their business needs, while maintaining the standardized base template structure for other aspects.
2Adaptability or versatility
If customized cloud services are implemented, then business requirements (security, availability) can be met, but service deployment complexity increases
Solution Approach 1:
The patent divides the customization process into discrete Key Service Indicators that can be independently configured. This segmentation allows complex business requirements to be broken down into manageable, selectable parameters, reducing the perceived complexity of customization.
Solution Approach 2:
The system dynamically associates KSIs with service templates based on customer selections. The configuration is flexible and can be adjusted during the service lifecycle, allowing customers to adapt services to changing requirements without redeploying the entire service architecture.
3Manufacturing precision
If Key Service Indicators are associated with cloud service templates, then resource identification and provisioning accuracy improve, but system configuration complexity increases
Solution Approach 1:
The patent introduces Key Service Indicators as an intermediary layer between customer business requirements and cloud resource provisioning. The KSIs act as a translation mechanism that maps high-level business criteria to specific technical resource configurations, improving accuracy while abstracting the complexity from the user.
Solution Approach 2:
The system creates a standardized template structure that can be copied and reused. By associating KSIs with these templates, the system preserves the proven resource configurations while adding customization capabilities, avoiding the need to recreate resource specifications from scratch.
Data Source
AI summary
Some examples described herein relate to providing a customized cloud service. In an example, Key Service Indicators (KSI) may be received for a cloud service. The Key Service Indicators may be associated with a cloud service template for providing the cloud service. The resources required for providing the cloud service may be identified based on the Key Service Indicators.