Digital Twin Latency Prediction for Data Processing Systems
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Solution Overview
Problem
Managing latency in data processing systems is challenging due to the complexity of measuring all possible arrangements of applications, making it intractable to directly identify and remediate latency discrepancies, which affects performance and user experience.
Innovation Solution
A method involving the use of an inference model trained on simulated digital representations of data processing systems to predict latency, comparing it with actual latency data, and identifying negative communications modifiers to remediate discrepancies, utilizing a digital twin to replicate the system's operation and simulate various application pathways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all possible arrangements of applications are measured to identify latency discrepancies, then measurement precision is improved, but device complexity increases making the process intractable
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the data processing system that replicates the complex arrangement of applications and infrastructure. This digital twin is used to simulate and measure latency discrepancies without affecting the actual production system. The copying principle allows comprehensive measurement of all possible application arrangements in the virtual model while keeping the real system simple and operational.
Solution Approach 2:
The patent performs preliminary actions by proactively identifying and remediating latency discrepancies in the digital twin before they affect the actual system. The system continuously simulates different application arrangements and identifies potential latency issues in advance, then applies remediation strategies to the digital model before deploying changes to the production environment. This preliminary action prevents latency problems from manifesting in the real system.
2Reliability
If latency discrepancies are identified and remediated in real-time, then system reliability is improved, but loss of time increases due to continuous monitoring and analysis
Solution Approach 1:
The digital twin serves as a virtual replica where all monitoring, analysis, and remediation activities can occur without impacting the actual system's operational time. Latency discrepancies are identified and resolved in the copied environment, allowing the production system to maintain high reliability while avoiding time loss from continuous real-time analysis of the actual applications.
Solution Approach 2:
The patent implements a feedback loop where the digital twin continuously monitors latency metrics and provides feedback to the system operator. When latency discrepancies are detected in the digital model, remediation actions are tested and validated before being applied to the actual system. This feedback mechanism ensures reliability improvement while minimizing time loss by only triggering remediation when actual issues are detected, rather than continuous intervention.
Data Source
AI summary
Methods and systems for managing data processing systems are disclosed. The data processing systems may be managed through identification and remediation of latency discrepancies on the data processing systems. The identification of latency discrepancies on data processing systems is facilitated by monitoring latency in execution of real-world devices on data processing systems and comparing to model prediction of latency of the devices. Execution of the devices and model prediction may utilize the same application pathway. In utilizing the same application pathway, the source of latency affecting the real-world device, called the negative communications modifier, may be isolated.