Simulating SDN Service Degradation via Telemetry Forking
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Solution Overview
Problem
Current methods for simulating service degradation in large data centers and telecommunication systems often result in real performance degradation for customers, as they involve forcing faults or inserting latencies, which are not practical for training responses to service degradations without affecting live systems.
Innovation Solution
A system that includes a simulator device which forks telemetry data streams from production systems, adds perturbations to simulate degradations, and analyzes reactions from management systems to identify causes of simulated degradations in real-time without affecting live operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If faults are forced or latencies are inserted to simulate service degradation, then training data for response improvement can be generated, but real performance degradation occurs for customers using the system
Solution Approach 1:
The patent creates a copy of the production system's telemetry data stream and processes this copy through the simulator device. By analyzing reactions to simulated degradations in the copied data rather than the live system, the method generates training data without impacting actual service performance or customer experience
Solution Approach 2:
The simulator device acts as an intermediary between the production system and management systems. It receives telemetry data, applies simulated degradations, and forwards the modified data to management systems for analysis, thereby enabling training without direct fault injection into the live system
2Adaptability or versatility
If real faults are introduced into live systems to test management system responses, then realistic training scenarios are created, but system reliability and customer experience deteriorate
Solution Approach 1:
Instead of introducing real faults into the live system, the patent copies the telemetry data stream and applies simulated degradations to this copy. This approach maintains system availability and reliability while still providing realistic training scenarios that mirror actual failure conditions
Solution Approach 2:
The simulator device modifies parameters of the copied telemetry data stream by applying perturbations that simulate various degradation types (latency, packet loss, bandwidth reduction). These parameter changes create realistic training scenarios without affecting the actual production system's operational parameters
Data Source
AI summary
Technologies for simulating service degradation in telemetry data include a simulator device. The simulator device is to identify a telemetry data stream from a production system to a first management system. The simulator device is also to fork a copy of the telemetry data stream for transmission to a second management system, determine perturbations associated with a determined service degradation type, and apply the perturbations to the forked telemetry data stream. Other embodiments are also described and claimed.