Distributed Network Analyzer for Parallel Signaling Data Analysis
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Solution Overview
Problem
Current signaling data analysis systems are limited to one-to-one mapping of hardware and software, requiring multiple analysis sessions to be set up individually, which increases complexity and cost, especially in complex networks that need to capture and analyze data from various sources simultaneously.
Innovation Solution
A distributed network analyzer captures signaling data across multiple interfaces and selectively transmits it for parallel real-time analysis by multiple signaling analyzers, allowing multiple users to conduct simultaneous analysis sessions without the need for individual setup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple analysis sessions are set up individually with separate hardware and software, then each session can analyze signaling data independently, but the complexity and cost of analysis tools increases
Solution Approach 1:
The patent implements a universal distributed network analyzer platform that can support multiple analysis sessions simultaneously through software configuration rather than requiring separate hardware systems. The system allows different users to conduct independent analysis sessions on the same physical infrastructure, achieving multi-functionality without increasing hardware complexity.
Solution Approach 2:
The patent segments the analysis functionality into software modules that can be independently configured and executed on a shared hardware platform. By dividing the analysis capabilities into separable software components, the system maintains independent analysis capability while avoiding the need for separate complete hardware systems for each session.
2Reliability
If multiple analysis sessions are set up individually with separate hardware and software, then each session can analyze signaling data independently, but the cost of implementing hardware and software increases
Solution Approach 1:
The patent creates a universal analysis platform that serves multiple analysis sessions simultaneously, eliminating the need to purchase and deploy separate hardware and software systems for each session. This shared infrastructure approach significantly reduces implementation costs while maintaining independent analysis capability through software-based session management.
Solution Approach 2:
The patent uses software virtualization to create multiple virtual analysis environments on a single physical system. Instead of copying expensive hardware systems, the invention creates software-based copies of analysis functionality that can run simultaneously, reducing costs while preserving independent analysis capability.
3Productivity
If a distributed network analyzer distributes signaling data to multiple signaling analyzers for parallel analysis, then simultaneous analysis sessions can be conducted, but data distribution and synchronization complexity increases
Solution Approach 1:
The patent introduces a distributed network analyzer as an intermediary component that manages data distribution to multiple signaling analyzers. This mediator handles the complexity of data routing, filtering, and synchronization, allowing multiple analysis sessions to run in parallel without requiring complex peer-to-peer coordination between analyzers.
Solution Approach 2:
The patent extracts the data distribution and session management functionality into a separate distributed network analyzer component. By removing this complex coordination logic from the individual signaling analyzers and centralizing it in the distributed network analyzer, the system enables parallel analysis while keeping individual analyzer complexity low.
Data Source
AI summary
A method and apparatus for capturing signaling data exchanged across multiple interfaces of a network via a distributed network analyzer, selectively manipulating the captured signaling data for parallel real time distributed analysis by a plurality of signaling analyzers, and transmitting the selectively manipulated signaling data to each of the plurality of signaling analyzers for the parallel real time distributed analysis by the signaling analyzers. The transmitted signaling data includes at least one of network signalizing data, user signalizing data, and application signaling data. Further, the captured signaling data analyzed by the signaling analyzers includes information needed for Quality of Service analysis of end user traffic. Accordingly, a method and apparatus for parallel real time distributed analysis of signaling data is provided, reducing complexity and cost of tools for analysis of signaling data.