Digital Twin Workflow Manager for Service Continuity
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Solution Overview
Problem
Data workflows in distributed environments are disrupted due to the time delay between the removal and replacement of data processing systems, leading to interruptions in computer-implemented services.
Innovation Solution
Implementing a digital twin of each data processing system, which is hosted and operated by a data workflow manager to continue providing services until a replacement is available, and then evaluating the digital twin's performance post-replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a data processing system is removed from the workflow for replacement, then the system can be updated or replaced, but the data workflow experiences interruption and service availability decreases
Solution Approach 1:
The patent creates a digital twin copy of the data processing system that replicates its functionality. When the original system needs replacement, the digital twin immediately takes over the workflow, ensuring continuous service availability. The digital twin is a virtual replica that can be deployed instantly without physical hardware delays.
Solution Approach 2:
The digital twin is prepared and maintained in advance before the original system fails or needs replacement. This preliminary preparation allows for immediate switchover when replacement is needed, eliminating service interruption and reducing the effective replacement time delay.
2Reliability
If a digital twin is implemented to maintain service continuity, then service availability improves during replacement, but system complexity increases
Solution Approach 1:
The workflow manager acts as an intermediary that coordinates between the original data processing system, the digital twin, and the replacement system. It manages the switchover process, monitors system status, and ensures seamless transition, thereby reducing the operational complexity of implementing digital twins.
Solution Approach 2:
The digital twin serves multiple functions: it acts as a backup system, a performance testing platform, and a continuity service during replacements. This multi-functionality justifies the added complexity by providing versatile benefits beyond just redundancy.
3Loss of time
If the digital twin operates as a substitute for the data processing system, then service interruption is reduced, but the digital twin performance needs to be evaluated to ensure quality
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor the digital twin's performance against predefined metrics. This feedback loop enables automated evaluation of the digital twin's output quality and triggers notifications when performance thresholds are met or exceeded, ensuring quality control during the substitution period.
Data Source
AI summary
Methods and systems for managing data workflows performed by data processing systems throughout a distributed environment are disclosed. To manager data workflows, a system may include a data workflow manager and one or more data processing systems. The data workflow manager may host and operate a digital twin intended to duplicate operation of each corresponding data processing system involved in a data workflow. In the event of a loss of functionality of a data processing system involved in the data workflow, the data workflow manager may initiate operation of a corresponding digital twin and re-route the data workflow through the digital twin to facilitate continued performance of computer-implemented services based on the data workflow. When a replacement data processing system becomes available, the replacement data processing system may be inserted into the data workflow and the digital twin may no longer be used.