Cloud Infrastructure Layouts for Policy Enforcement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current system architectures for cloud-platform infrastructure layouts lack a systematic way to extend standardized models for global optimization policies and hierarchical policy enforcement during workflow generation, leading to unanticipated interactions and challenges in generating feasible workflows across diverse cloud environments.
Innovation Solution
A context-aware infrastructure layout architecture that maps northbound services to southbound service fulfillment models, using a core layout and extensions to facilitate policy enforcement, workflow generation, and management of infrastructure layouts, enabling accelerated configuration and deployment of southbound services while ensuring policy compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standardized models are used for cloud-platform infrastructure layouts, then system compatibility and ease of operation are improved, but adaptability to diverse cloud environments and policy enforcement capabilities deteriorate
Solution Approach 1:
The infrastructure layout is segmented into a standardized core model and environment-specific extensions. The core model contains universal components and relationships that ensure compatibility, while extensions allow customization for diverse cloud environments. This segmentation enables the system to maintain ease of operation through standardization while achieving adaptability through modular extensions.
Solution Approach 2:
The system adds a dimensional layer by introducing extension mechanisms that operate alongside the standardized core model. This allows the infrastructure layout to exist in multiple dimensions - the base standardized dimension for compatibility and an extension dimension for adaptability - resolving the contradiction between ease of operation and versatility.
2Ease of operation
If standardized models are used for cloud-platform infrastructure layouts, then ease of workflow generation is improved, but policy enforcement capabilities deteriorate
Solution Approach 1:
Policy enforcement is segmented into core policy requirements defined in the standardized model and environment-specific policy extensions. This allows systematic policy enforcement while maintaining ease of workflow generation through the standardized core, with additional reliability through targeted policy extensions for specific environments.
Solution Approach 2:
Policy requirements are preliminarily defined in the core infrastructure layout model before workflow generation occurs. This preliminary action ensures that policy enforcement capabilities are established upfront, allowing workflows to be generated easily while automatically complying with policies, thus resolving the contradiction between ease of operation and reliability.
3Adaptability or versatility
If environment-specific extensions are added to standardized models, then adaptability to diverse cloud environments is improved, but device complexity and difficulty of management increase
Solution Approach 1:
The infrastructure layout is segmented into a manageable core model and separate extension components. This segmentation allows the system to achieve adaptability through extensions while keeping the core model simple and manageable, reducing overall device complexity through organized modularity.
Solution Approach 2:
Extensions are nested within the core infrastructure layout model, allowing the standardized core to contain and organize environment-specific extensions. This nesting structure manages complexity by providing a hierarchical organization where the simple core encapsulates the complexity of multiple environment-specific extensions, making the overall system more manageable.
4Adaptability or versatility
If environment-specific extensions are added to standardized models, then adaptability to diverse cloud environments is improved, but unanticipated interactions and challenges in generating feasible workflows increase
Solution Approach 1:
Workflow generation is segmented into core workflow patterns defined in the standardized model and environment-specific workflow extensions. This segmentation reduces unanticipated interactions by clearly separating universal workflow logic from environment-specific adaptations, making workflow generation more predictable and manageable across diverse cloud environments.
Data Source
AI summary
A system maintains, generates, and manages infrastructure layouts. The infrastructure layouts include structural relationships for the handling of received sensor data. The infrastructure layouts may be traversed to determine datastore options for the sensor data and contextual information that may be used to enrich the received sensor data.