Automated Error Detection and Resolution in Local Area Networks
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Solution Overview
Problem
Current methods for error detection in networks and media streams often require customers to manually describe issues to service providers, leading to inefficiencies and a lack of robust solutions for immediate error resolution.
Innovation Solution
Implementing a system where computers or media players detect errors and send notifications with options to address them directly to user, service provider, or content provider devices, allowing for immediate selection and execution of corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If customers manually describe errors to service providers, then service providers can address errors, but the process is inefficient and time-consuming
Solution Approach 1:
The system implements self-service by enabling automated error detection and notification. The error detection system automatically identifies network errors, generates notifications, and provides multiple resolution options without requiring customer intervention to describe the problem. This resolves the contradiction by making the system self-serve in detecting and initial response to errors.
Solution Approach 2:
The system performs preliminary action by proactively detecting errors and sending notifications with multiple resolution options before the customer even realizes there is a problem. The system prepares multiple potential solutions in advance, allowing for rapid resolution once the notification is received, thus improving efficiency and reducing time loss.
2Measurement precision
If service providers rely on customer descriptions, then they can understand the error, but the accuracy and speed of error identification are reduced
Solution Approach 1:
The system implements feedback by automatically detecting errors and providing structured information back to the service provider. The notification contains precise error details, network state information, and multiple suggested resolutions, eliminating the need for customers to describe errors and ensuring high accuracy in error identification.
Solution Approach 2:
The error detection system acts as an intermediary between the network and the service provider. It automatically monitors network conditions, identifies errors, and translates them into structured notifications with diagnostic information and suggested solutions, improving both accuracy and ease of operation by removing the manual description step.
3Adaptability or versatility
If multiple options for addressing errors are provided, then resolution flexibility increases, but system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the error resolution process into distinct components: error detection, notification generation, option presentation, and execution. Each component handles a specific aspect, allowing the system to provide multiple resolution options without overwhelming complexity. The segmentation enables modular management of the increased versatility.
Data Source
AI summary
Novel tools and techniques are provided for implementing error detection in a network, and, more particularly, to methods, systems, and apparatuses for implementing error and/or fault detection in a network and/or media stream and providing options to address the error and/or fault in the network and/or media stream. In various embodiments, a computer might detect an error in a first network and send a notification indicating that the error has occurred. The notification might contain one or more options to address the error in the first network. The computer, a user device, a service provider device, or a content provider device might receive and display the notification containing the one or more options. The computer, the user device, the service provider device, or the content provider device might then select at least one of the one or more options to address the error in the first network.


