Declarative Interface Component Generation with Distributed Multi-Use Agents
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Solution Overview
Problem
Existing cloud-based service providers face significant resource drain and inefficiencies in maintaining multiple customized digital interfaces for numerous customers due to repetitive and independent execution of individual interface components, leading to exponential resource utilization and system slowdowns.
Innovation Solution
Implementing multi-use component agents that parse declarative metadata to generate and manage interface components, allowing for replication and distribution across a distributed system, reducing redundant data fetching and code execution, and enhancing data communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple individual interface components are displayed and maintained on customized personalized interfaces for multiple customers, then customer customization and personalization is improved, but system resource consumption increases exponentially
Solution Approach 1:
The patent applies universality by creating a single shared interface component that can be dynamically configured and reused across multiple customer interfaces. Instead of maintaining separate independent components for each customer, the system uses one universal component that adapts to different customer requirements through configuration, thereby reducing exponential resource consumption while preserving customization capability.
Solution Approach 2:
The patent segments the interface component into a shared universal component and customer-specific configuration data. The universal component handles common functionality while customer-specific configurations provide customization. This segmentation allows the system to maintain customization versatility without replicating entire components for each customer, thus reducing resource consumption.
2Ease of manufacture
If repetitive methods are used to display and maintain individual components on interfaces, then interface component generation is simplified, but system productivity decreases due to resource drain
Solution Approach 1:
The patent merges the generation and maintenance operations for multiple interface components into a single shared component instance. By combining these operations, the system eliminates repetitive processing while maintaining the ability to generate customized interfaces. The shared component is configured differently for each customer rather than being regenerated, thereby improving system productivity without sacrificing ease of component generation.
Data Source
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AI summary
Techniques are disclosed for efficient generation and maintenance of interface components in an infrastructure-as-a-service (IaaS) environment. A system may receive a request to display a dashboard of components. A declarative metadata set of components is generated and a multi-use agent to parse the declarative metadata set. The multi-use agent may be replicated according to the parsed declarative definition in order to create multiple instances of the multi-use agent corresponding to the one or more determined interface components. The multiple instances of the multi-use agent may then generate and maintain the interface components in real-time. Component generation may be distributed among systems to prevent excessive data transfers and wasteful communications.