Intermediate Widget Cache for Scalable, Up-to-Date UI Rendering
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Solution Overview
Problem
Existing cloud-based web applications face inefficiencies in managing and updating cached widget components across different clients, leading to performance and scalability issues due to the lack of an effective intermediate caching mechanism.
Innovation Solution
Implementing an intermediate widget cache at an intermediary server that manages and stores cached widget components, which are reusable and updated based on cloud-based database records, allowing for efficient caching and retrieval of up-to-date widgets across various clients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud-based web applications manage cached widget components without an intermediate caching mechanism, then the system structure remains simple, but performance and scalability deteriorate due to inefficient widget management across clients
Solution Approach 1:
The patent introduces an intermediary server positioned between the cloud-based application server and web clients. This intermediary server manages widget caching by storing cached widget components and handling requests from multiple clients, thereby improving performance and scalability without requiring complex changes to the core application architecture.
Solution Approach 2:
The patent segments the widget caching functionality from the main application server by implementing a separate intermediary server. This segmentation allows the caching mechanism to be independently optimized and managed, improving overall system performance while maintaining a relatively simple structure through functional separation.
2Adaptability or versatility
If cloud-based web applications use reusable widget components without an intermediate cache, then device complexity remains low, but scalability worsens due to inability to efficiently serve multiple clients
Solution Approach 1:
The intermediary server acts as a mediator that enables scalable service of reusable widget components to multiple clients. It manages the caching of widget components and handles client requests efficiently, thereby improving scalability while adding minimal complexity through a dedicated caching layer.
Solution Approach 2:
The intermediary server provides universal service by caching and serving the same reusable widget components to multiple different clients simultaneously. This multi-functionality enables the system to scale efficiently as the number of clients increases without requiring proportional increases in application server resources.
3Loss of time
If cloud-based applications lack an intermediate widget cache, then system simplicity is maintained, but time loss increases due to repeated retrieval of widget components
Solution Approach 1:
The intermediary server performs preliminary action by caching reusable widget components before they are requested by clients. This pre-caching mechanism reduces the time required for subsequent widget retrieval operations, as the components are already stored and ready for immediate service to multiple clients.
Solution Approach 2:
The intermediary server mediates between the application server and clients by storing frequently accessed widget components in its cache. This mediation significantly reduces the time lost in repeated retrieval operations while adding minimal system complexity through the intermediary caching layer.
Data Source
AI summary
A request is received from a client for data to render a modular contained widget component of an application user interface. Whether the requested data is cached at an intermediary server is determined at the intermediary server, wherein the requested data is based at least in part on one or more database records stored at a backend server. In response to a determination that the requested data is cached, the requested data is obtained from an identified cache instance that cached the requested data. The cached requested data is based at least in part on the one or more database records provided by the backend server to the intermediary server to maintain an updated version of the requested data at the identified cache instance. The requested data is provided to the client from the intermediary server.