Cloud Infrastructure Deployment System for Virtual Network Allocation
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Solution Overview
Problem
Current cloud-infrastructure deployment systems face inefficiencies and complexities in allocating and provisioning virtual networks, particularly during cloud-template-directed deployments, leading to issues with concurrent deployments, resource allocation, and address range constraints, resulting in deployment failures and suboptimal resource utilization.
Innovation Solution
The implementation of improved cloud-infrastructure deployment systems that provide higher-granularity cloud-template specifications, prioritize projects, and reserve network resources based on detailed network specifications, enabling concurrent deployments and efficient allocation of network resources through advanced data structures and control-flow diagrams that prioritize and reserve resources effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual approaches are used to manage and administer distributed computing systems, then control and decision-making remain with human administrators, but time consumption and cost increase significantly
Solution Approach 1:
The system enables automated self-service deployment where cloud templates automatically provision virtual networks and resources without manual intervention. The deployment system automatically selects available networks, allocates address ranges, and configures virtual networks based on template specifications, eliminating time-consuming manual administrative tasks.
Solution Approach 2:
Manual administrative processes are replaced with automated software-based deployment systems that use cloud templates to provision infrastructure. The mechanical process of manual network selection and configuration is substituted with automated template-driven provisioning that executes deployment actions programmatically.
2Productivity
If cloud infrastructure deployment uses traditional manual approaches, then implementation is straightforward, but deployment speed and efficiency are reduced
Solution Approach 1:
The deployment system is segmented into modular components: cloud templates define deployment specifications, the deployment system manages resource allocation, and virtual networks handle network provisioning. This segmentation allows each component to be optimized independently and enables parallel processing of deployment tasks, increasing overall deployment speed.
Solution Approach 2:
Cloud templates are prepared in advance with complete deployment specifications including network requirements, resource allocations, and configuration parameters. This preliminary preparation eliminates the need for manual configuration during deployment, allowing rapid provisioning by simply instantiating the pre-defined templates.
3Productivity
If network resources are allocated without prioritization, then all deployments are treated equally, but concurrent deployment efficiency and resource allocation optimization are reduced
Solution Approach 1:
The system introduces dynamic prioritization mechanisms that allow different cloud templates to be assigned priority levels. The deployment system dynamically adjusts resource allocation and network reservation based on priority settings, enabling critical deployments to receive preferential treatment while maintaining the ability to manage concurrent deployments efficiently.
Solution Approach 2:
Prioritization settings are configured in advance within cloud templates before deployment. The deployment system reads these pre-set priorities and automatically applies them during resource allocation and network reservation, eliminating the need for manual priority adjustment during concurrent deployments and simplifying management.
4Manufacturing precision
If network resources are reserved based on low-granularity specifications, then the reservation process is simple, but resource allocation precision and suitability for specific deployment requirements are reduced
Solution Approach 1:
The system enables different levels of granularity in network resource specifications depending on the specific deployment requirements. Cloud templates can specify detailed address ranges, subnet masks, and network configurations when needed, while using higher-level abstractions when simplicity is preferred. This local quality approach allows precise resource allocation tailored to each deployment scenario.
Solution Approach 2:
Network resource specifications are segmented into hierarchical levels: high-level network identifiers, medium-level subnet configurations, and detailed address range assignments. The deployment system navigates through these segmented specification levels to allocate precise resources while maintaining ease of template definition and management.
Data Source
AI summary
The current document is directed to improved methods and improved cloud-infrastructure deployment systems that efficiently allocate and provision virtual networks during cloud-template-directed cloud-infrastructure deployment. The improved cloud-infrastructure deployment systems provide higher-granularity cloud-template specifications of virtual networks as well as the assignment of a priority to each project with respect to which cloud-infrastructure is deployed. The improved methods provide for concurrent cloud-infrastructure deployments, prioritization of concurrent cloud-infrastructure deployments, and reservation of networks based on network-resource specifications of increased granularity prior to allocation and provisioning of network resources.