Declarative Client Caching for Resource Management
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Solution Overview
Problem
Current resource management systems face challenges in efficiently processing large data and managing multiple resources, leading to difficulties in tracking progress, establishing measurable objectives, and ensuring adaptability and flexibility, as they often fail to integrate resource provisioning with skilled professionals and are custom-made for specific end-users.
Innovation Solution
The resource management system employs intelligent caching and proxies for streamlined process management, using a declarative client with a normalized in-memory cache, serverless compute engine, and auto-generated query builder to simplify data fetching and rendering, while providing secure and localized content delivery through a full-stack payment platform and authentication servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If separate front-facing software is used to provision access to materials and services, then access control is achieved, but system complexity increases and holistic resource management is lost
Solution Approach 1:
The patent combines multiple separate access control systems into a single unified resource management system. The system integrates material access, service access, and professional credential verification into one holistic platform, eliminating the need for separate front-facing software while maintaining comprehensive access control capabilities.
Solution Approach 2:
The resource management system is designed to perform multiple functions simultaneously: provisioning materials, managing services, verifying professional credentials, and tracking resource usage. This multi-functional approach replaces multiple specialized systems with a single universal platform that handles all resource management tasks.
2Ease of manufacture
If custom-made systems are personalized to different end-users, then user-specific needs are met, but adaptability and flexibility decrease
Solution Approach 1:
The system employs dynamic configuration capabilities that allow it to adapt to different user needs and scenarios. The resource management platform can dynamically adjust its behavior, access controls, and workflows based on the specific context, user role, and resource type, providing both personalization and flexibility simultaneously.
Solution Approach 2:
The system uses parameter-based configuration to handle different user requirements. By changing system parameters and settings rather than creating custom-made systems, the platform can be quickly adapted to different end-users and scenarios, maintaining flexibility while meeting specific needs.
3Quantity of substance
If multiple external resources are accessed, then comprehensive resource availability is achieved, but bandwidth consumption and latency increase
Solution Approach 1:
The patent introduces an intermediary resource management system that acts as a local proxy between end-users and external resources. This intermediary caches resource data locally, reducing the need for frequent external accesses while maintaining comprehensive resource availability. The system manages multiple resources through a centralized interface that minimizes external communications.
4Measurement precision
If progress tracking and measurable objectives are implemented, then monitoring capability is improved, but system complexity increases
Solution Approach 1:
The resource management system incorporates automated feedback mechanisms that continuously monitor resource usage, progress, and outcomes. The system automatically collects data from various sources, processes it, and provides feedback to users and stakeholders, enabling precise progress tracking without requiring complex manual monitoring processes.
Data Source
AI summary
A system automatically manages remote and local data through a declarative client that retrieves, tracks, and caches data in response to a transmission from an interface. The declarative client accesses an immutable image served by a secure cloud platform. A serverless compute engine receives the immutable image and a plurality of tasks that process the immutable image in a container. An application programming interface in communication with the declarative client extracts data via queries from a database. The declarative client includes an in-memory cache that stores broken up results of the queries into individual objects that are each associated with a unique identifier. The extracted data is deconstructed downloaded content in which assigned links between data elements are mapped to redirected computer-generated links that locate the downloaded content.