Communication Traffic Analyzing Apparatus for Real-Time Application State Estimation
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Solution Overview
Problem
Current communication networks lack the ability to directly determine the type and state of applications in real-time, making it difficult to provide optimal communication quality and quality of experience (QoE) due to limitations in processing time-series data of communication traffic.
Innovation Solution
A communication traffic analyzing apparatus that generates and updates probabilistic state transition models from time-series data to estimate the type and state of applications, allowing for real-time estimation and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If probabilistic state transition models are generated from time-series data to estimate application types and states, then measurement precision is improved, but processing time increases making real-time estimation difficult
Solution Approach 1:
The patent pre-generates probabilistic state transition models for multiple application types and states before actual estimation occurs. These models are stored in advance, so when real-time estimation is needed, the system can directly query and compare against pre-computed models without performing complex calculations during the estimation moment, thus achieving both high accuracy and real-time performance
Solution Approach 2:
The patent dynamically selects which pre-generated models to use based on current network conditions and traffic characteristics. The system adapts the estimation process by choosing appropriate models from the pre-generated set, allowing flexible response to changing conditions while maintaining real-time estimation capability without regenerating models continuously
2Ease of operation
If network devices directly determine application types and states, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent introduces a separate application type and state estimation device that acts as an intermediary between network traffic and the control system. This dedicated estimation device performs the complex analysis of time-series data and model comparison, while network devices can simply query the estimation results without needing to implement complex estimation algorithms themselves, thus distributing complexity appropriately
3Reliability
If communication carriers provide optimal communication quality based on changing application conditions, then quality of experience is improved, but adaptability requirements increase
Solution Approach 1:
The patent implements a feedback mechanism where the estimation device continuously monitors network traffic, compares it against pre-generated probabilistic models, and provides real-time estimation results about application types and states. This feedback loop enables communication carriers to dynamically adjust network resources and quality parameters based on actual application conditions, achieving both high reliability and adaptability through continuous observation and response
Data Source
AI summary
To realize real-time estimation when estimating the type and state of an application from time-series data of communication traffic. A communication traffic analyzing apparatus of the present invention has a state transition model generating unit configured to generate a probabilistic state transition model from time-series data of communication traffic, at each predetermined timing, a state transition model update unit configured to update a state transition model when a difference between the state transition models at two timings generated by the state transition model generating unit is greater than or equal to a predetermined difference and a communication state of network satisfies a predetermined condition, and an application type and state estimating unit configured to estimate a type and a state of an application using the updated state transition model.