Accelerated Remote API Request Interception and Caching
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Solution Overview
Problem
Existing systems face challenges in accelerating remote operation of cloud-based applications through API requests, as they are designed for local execution and lack efficient mechanisms for handling remote access to resources, leading to performance issues.
Innovation Solution
An accelerated remote operations system intercepts API requests from client devices, determines responses remotely, and compares them to previous responses to optimize execution, allowing for continued application execution based on whether the response has changed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If API requests are designed for local execution, then they can operate with standard local file system assumptions, but they perform poorly when accessing remote cloud-based resources
Solution Approach 1:
The patent introduces an intermediary layer (virtual file system driver or gateway) between the local API and remote cloud resources. This intermediary translates local file system API calls into appropriate remote access operations, enabling standard APIs to work with cloud-based resources without modifying the API itself. The intermediary handles protocol conversion, authentication, and data transfer optimization.
Solution Approach 2:
Instead of modifying remote access mechanisms to work with local APIs, the patent inverts the approach by bringing remote resource access capabilities into the local environment through virtualization. The remote file system is mounted or virtualized locally, allowing standard local APIs to access remote resources as if they were local, thereby maintaining API compatibility while achieving remote access performance.
2Adaptability or versatility
If API requests are processed remotely for cloud-based applications, then remote access capability is improved, but response time and latency increase
Solution Approach 1:
The patent implements preliminary actions by pre-fetching data from remote cloud resources before they are actually needed by the application. The system anticipates future access patterns, caches frequently accessed data locally, and pre-loads resources based on usage predictions, thereby reducing latency when applications need to access remote resources.
Solution Approach 2:
The patent maintains continuity of useful action by implementing persistent connections and keep-alive mechanisms to remote cloud resources. Instead of establishing new connections for each API call, the system maintains ongoing communication channels, allowing multiple API requests to be processed over the same connection, thereby eliminating connection establishment overhead and reducing response time.
3Reliability
If repeated API requests are sent to remote servers, then cloud-based applications can access updated data, but network bandwidth and server resources are consumed
Solution Approach 1:
The patent implements feedback mechanisms where the system monitors remote resource change notifications and uses this feedback to intelligently determine when to refresh cached data. Remote servers send change notifications or event streams that trigger selective data updates only when relevant changes occur, avoiding unnecessary repeated API requests while ensuring data freshness when needed.
Solution Approach 2:
The patent enables self-service by implementing intelligent caching and validation mechanisms that automatically determine whether remote data needs to be refreshed. The system validates cached data against remote sources using efficient comparison algorithms and only initiates data transfer when actual changes are detected, allowing the system to serve itself without constant server communication.
Data Source
AI summary
Systems and method for remotely satisfying API (Application Programming Interface) requests made by an application executing at a client device. At an accelerated remote operations system server remote from the client device, an intercepted API request of an application executing at the client device is received. At the accelerated remote operations system server, an API response to the API request is determined using an API. The API response is compared to a previously determined API response for the API request to determine if the API response has changed. A response is sent to the client device based on whether the API response has changed and is used to continue execution of the application at the client device.