Cloud Business Process Error Recovery via Segmented Subsystems
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Solution Overview
Problem
Business process management systems in cloud-based architectures often face limited or non-existent error recovery mechanisms, leading to significant time delays when errors occur, such as network failures during email sending, requiring manual human intervention.
Innovation Solution
An automated error detection and recovery method where an application management computing device receives error notifications from monitoring agents, executes error recovery processes, and reinitiates subsystem processes using associated data, allowing for continuous execution of other subsystems and reduced recovery time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual error recovery is used with human interaction, then error detection capability is maintained, but recovery time increases significantly
Solution Approach 1:
The system pre-configures error recovery processes and stores associated information or data before errors occur. When an error is detected, the pre-configured recovery process is automatically executed with the pre-stored data, eliminating the need for manual human interaction and significantly reducing recovery time while maintaining reliable error detection.
2Loss of time
If automated error recovery is implemented, then recovery time is reduced, but system complexity increases
Solution Approach 1:
The error recovery system is segmented into independent components: error detection agents, error recovery processes, and associated information storage. Each component operates independently but coordinates through standardized interfaces, allowing the system to achieve automation without proportionally increasing overall complexity.
Solution Approach 2:
The patent introduces an intermediary error recovery process that acts as a mediator between error detection and system restoration. This intermediary layer automatically handles the coordination between detecting an error and executing the appropriate recovery actions, reducing the complexity burden on the overall system while enabling automated recovery.
3Reliability
If error recovery stops other subsystem processes, then error handling is thorough, but productivity of other subsystems decreases
Solution Approach 1:
The system segments the business process into independent subsystem processes that can operate autonomously. When an error is detected in one subsystem, the error recovery process is localized to that specific subsystem, allowing other subsystems to continue execution without interruption, thereby maintaining productivity while ensuring thorough error handling in the affected area.
Data Source
AI summary
A method, device and non-transitory computer readable medium that implements error detection and recovery includes receiving from one or more agents monitoring one or more subsystem processes of a business process operating in a cloud based architecture an identification of an error condition in at least one of the subsystem processes. Additionally, any associated information or data necessary to execute the at least one of the subsystem processes with the identified error condition is received. An error recovery process for the at least one of the subsystem processes with the identified error condition is executed by the application management computing device. The recovered at least one of the subsystem processes with the identified error condition is reinitiated using the received information or data corresponding to the at least one of the subsystem processes with the identified error condition.