Hybrid Data Compute Plane Architecture for Secure Cloud Scaling
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Solution Overview
Problem
Current computing architectures face challenges in efficiently managing varying computing demands, as they often lead to underutilization of resources due to fixed on-premise setups or require complex handling of cloud deployments, which can be costly and insecure.
Innovation Solution
A hybrid data compute plane architecture that dynamically allocates resources between on-premise and cloud-based platforms, using data shipment rules for secure and scalable data transfer, enabling flexible compute scaling and secure data handling across both environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computing is performed on cloud based platforms, then computing resource flexibility is improved, but data security and deployment complexity worsen
Solution Approach 1:
The patent introduces a hybrid computing architecture that acts as an intermediary layer between on-premise infrastructure and cloud platforms. This hybrid layer manages data security policies, authentication, and resource allocation, simplifying cloud deployment while maintaining security requirements. The hybrid architecture mediates between the rigid on-premise environment and the flexible cloud environment, providing a bridge that reduces deployment complexity.
2Reliability
If all computing is done on premise, then data security is improved, but resource utilization efficiency worsens
Solution Approach 1:
The patent segments computing workloads into different categories based on security requirements and resource demands. Critical security-sensitive workloads remain on-premise, while less sensitive workloads can be offloaded to cloud platforms. This segmentation allows the system to maintain high data security for sensitive operations while achieving better overall resource utilization by leveraging cloud resources for appropriate workloads.
Solution Approach 2:
The patent applies different security and resource management policies to different locations in the computing architecture. On-premise systems maintain strict security controls for sensitive data, while cloud-based systems provide flexible resource allocation for non-sensitive workloads. This local quality approach allows each location to optimize for its specific requirements, achieving both security and efficiency.
3Adaptability or versatility
If cloud computing resources are used, then computing scalability is improved, but operational costs worsen
Solution Approach 1:
The patent implements dynamic resource allocation that adjusts computing workload distribution between on-premise and cloud platforms based on real-time conditions. When cloud resources are needed for scalability, they are activated; when on-premise resources suffice, cloud usage is reduced or eliminated. This dynamic approach ensures scalability is available when needed while minimizing operational costs by avoiding unnecessary cloud resource consumption.
Data Source
AI summary
A hybrid computer architecture a process providing flexible computing resources across a combination of on-premise computing resources and cloud-based computing resources.