Router Controller Rerouting Offline Cloud Requests
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Solution Overview
Problem
Unresponsive and/or offline systems in distributed environments cause delays and errors, as existing technologies lack effective mechanisms for rerouting requests and maintaining data integrity across disconnected components.
Innovation Solution
A system that includes a router and controller configured to reroute requests from a terminal to a cloud computing system, with an offline monitor detecting system availability and re-attempting communication, allowing the controller to switch states and process requests independently before transferring data to a central database upon reconnection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system relies on direct communication between terminal and cloud computing system, then communication simplicity is maintained, but system reliability deteriorates when cloud system is offline
Solution Approach 1:
The patent introduces an offline monitor and router as intermediary components between the terminal and cloud computing system. The offline monitor detects cloud system availability and the router redirects requests to a local controller when the cloud system is offline, thereby maintaining system reliability without requiring complex communication architecture changes
Solution Approach 2:
The offline monitor continuously monitors cloud system availability in advance before requests are sent. By detecting offline status beforehand and pre-configuring alternative routing paths, the system可以避免 delays and errors that would occur if detection happened after request failure
2Productivity
If requests are routed to local controller when cloud system is offline, then processing continuity is maintained, but data consistency complexity increases
Solution Approach 1:
The system implements feedback mechanisms where the offline monitor continuously checks cloud system availability and the router adjusts request routing based on this feedback. When the cloud system comes back online, the system detects this change and initiates data synchronization to maintain consistency between local and cloud databases
Solution Approach 2:
The local controller continues to process requests locally without interruption when the cloud system is offline, maintaining productivity. The system ensures data consistency through automated synchronization processes that execute when connectivity is restored, rather than requiring manual intervention or complex real-time coordination
3Reliability
If the system implements continuous monitoring and rerouting capabilities, then error reduction is achieved, but energy consumption increases
Solution Approach 1:
The offline monitor performs periodic availability checks at intervals rather than continuously, reducing energy consumption while still effectively detecting cloud system offline status. The monitoring frequency can be adjusted based on system requirements and cloud system response characteristics
Data Source
AI summary
Described in detail herein are systems and methods for routing data in a distributed environment. A controller can maintain an inactive state. A terminal can receive a request associated with a physical object. The terminal can be communicatively coupled to a cloud computing system. The terminal can attempt to transmit the request to the cloud computing system. A router communicatively coupled to the controller and cloud computing system can attempt to initiate communication between the terminal and the cloud computing system in response to the terminal attempt to transmit the request to the cloud computing system. The router can route the request to the controller in response to failing to initiate communication between the terminal and the cloud computing system after specified amount of time. The controller can switch from an inactive state to an active state in response to receiving the request.