Message Management System for SDN Conversation Parsing
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Solution Overview
Problem
Current software-defined networking (SDN) systems lack the ability to dynamically and effectively incorporate user interests and preferences into messaging and conversation transactions, leading to inefficient information processing and management.
Innovation Solution
The implementation of a method that identifies user-submitted conversational statements, parses them to determine items of interest, retrieves relevant information from external sources, and automatically generates response statements, enhancing conversation relevance and efficiency by integrating additional or alternative information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional networking switches treat all packets in the same manner using predefined rules, then network control is simplified and device complexity is reduced, but adaptability to user interests and conversation context is lost
Solution Approach 1:
The patent introduces an intermediary message management system that sits between users and the SDN controller. This intermediary parses conversational statements, identifies items of interest, and translates them into SDN controller commands. This mediator layer enables adaptability to user interests without requiring the SDN controller itself to become complex, as the translation and interpretation functions are handled by the separate message management application.
Solution Approach 2:
The system segments the conversation processing function from the network control function. The message management application handles conversational parsing and item identification, while the SDN controller handles network configuration. This segmentation allows each component to specialize in its function, maintaining simplicity in the SDN controller while achieving adaptability through the specialized message processing module.
2Productivity
If manual message management is used in conversations, then information accuracy can be maintained, but information processing efficiency decreases
Solution Approach 1:
The message management system performs self-service by automatically parsing conversational statements, identifying items of interest, and generating appropriate SDN controller commands without requiring manual intervention. The system serves itself by maintaining its own command structure and translation rules, enabling automated information processing while preserving accuracy through consistent application of parsing logic.
Solution Approach 2:
The system incorporates feedback mechanisms where the message management application continuously monitors conversation flow and adjusts its parsing and command generation based on conversation context. This feedback loop ensures that automatically generated commands remain accurate and relevant to the ongoing conversation, maintaining information accuracy while enabling automated processing.
3Loss of time
If automated response generation is implemented, then conversation response time is reduced, but information relevance may deteriorate
Solution Approach 1:
The message management application performs preliminary actions by pre-parsing conversational statements and pre-identifying items of interest as they occur in the conversation flow. This preliminary processing prepares the system to generate relevant responses quickly, as the parsing and identification work is already done before a full response is needed, reducing response time while maintaining relevance through advance context analysis.
Data Source
AI summary
Identifying user input data on a mobile user device may provide a way to predict the types of questions and actions a user will take and offer information contemporaneously with such actions. One example method of operation includes identifying a computer hosted conversation with a number of users submitting conversational statements, parsing the conversational statements to identify at least one item of interest, determining whether the at least one item of interest is a new item different from previously stored messages, automatically creating at least one response statement message including third party information corresponding to the at least one item of interest, and transmitting the response statement message to each of the users.