Smart Remote Agent for CPE Telemetry Streaming via OpenWrt
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Solution Overview
Problem
Service providers face high operational costs and inefficiencies due to customers' lack of visibility into their home networks, leading to reliance on human customer service for network management and troubleshooting, which hinders the ability to offer cost-effective services and optimize network performance.
Innovation Solution
Implementing an agile OpenWrt software architecture in customer premise equipment (CPE) devices to stream telemetry data to an analytics platform, providing both service providers and customers with real-time network performance metrics, security monitoring, and performance optimization tools, enabling improved network management and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If service providers use human customer service centers to manage customer networks, then customers receive personalized support, but operational costs increase significantly
Solution Approach 1:
The system enables self-service through automated telemetry data collection and analysis. The smart remote agent continuously monitors network parameters and automatically generates insights without human intervention, allowing the network to manage itself and reducing dependency on customer service personnel.
Solution Approach 2:
The system implements continuous feedback loops where telemetry data is collected from the network, analyzed by the analytics platform, and used to automatically adjust network parameters. This closed-loop feedback mechanism enables automated optimization without requiring human operators to continuously monitor and adjust settings.
2Loss of information
If service providers deploy smart remote agents with telemetry streaming, then network visibility and management capability improve, but device complexity increases
Solution Approach 1:
The system segments functionality by separating the telemetry collection agent running on the CPE device from the analytics platform in the cloud. This segmentation allows the device to remain relatively simple while offloading complex analysis functions to the cloud-based platform, achieving enhanced visibility without significantly increasing device complexity.
Solution Approach 2:
The analytics platform acts as an intermediary between the CPE device and the service provider's network management systems. It receives telemetry data from the device, processes the information, and presents manageable insights to operators, simplifying the interface between device and management system.
3Measurement precision
If manual network troubleshooting procedures are used, then detailed analysis can be performed, but response time and efficiency decrease
Solution Approach 1:
The system performs preliminary actions by continuously collecting and analyzing telemetry data before problems manifest. The smart remote agent monitors network parameters in real-time and identifies potential issues before they affect service quality, enabling proactive troubleshooting rather than reactive responses.
Solution Approach 2:
The system replaces manual mechanical troubleshooting procedures with automated electronic analysis. The analytics platform uses software-based algorithms to analyze telemetry data, identify problems, and suggest solutions, substituting human manual analysis with automated computational processes that are both precise and efficient.
Data Source
AI summary
Systems and methods of a smart and efficient agent integrated with an agile software architecture to collect and present telemetry data from a field deployed device. The collected telemetry data from the field deployed device is streamed to the service provider's streaming and analytics platform, where it is analyzed and presented to a hierarchical color-coded dashboard that is available to both the customer associated with the field deployed device, and the service provider's care agent associated with the field deployed device.