CPE Data Collection via Signature Analysis
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Solution Overview
Problem
The increasing number of customer premise equipment (CPE) devices in network environments generates large volumes of data, posing challenges in timely, reliable, and complete data collection and analysis, which can strain the network and complicate processing.
Innovation Solution
A system utilizing a parallel, distributed process for simultaneous data collection from thousands to millions of CPE devices, employing lossless compression and randomized connection strategies to reduce network traffic, and incorporating methods like time-series indexing and real-time KPI data collection to ensure data completeness and minimize user impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data collection is performed from millions of CPE devices, then data completeness and reliability are improved, but network traffic volume increases and may harm the network
Solution Approach 1:
The patent extracts only the necessary and critical data elements from CPE devices rather than collecting all available data. The system identifies and collects specific performance metrics, error logs, and diagnostic information that are essential for troubleshooting while leaving unnecessary data behind, thereby reducing network traffic while maintaining data reliability.
Solution Approach 2:
The patent segments the data collection process into multiple phases and categories. Data is collected in structured segments including device identification, performance metrics, error logs, and diagnostic information. This segmentation allows for efficient processing and reduces the overall data volume by organizing information into manageable, targeted segments.
2Loss of time
If data collection frequency is increased to ensure timely analysis, then data timeliness is improved, but network traffic and processing load increase
Solution Approach 1:
The patent implements periodic data collection at strategically determined intervals rather than continuous monitoring. The system collects data at regular intervals based on device type, network conditions, and priority levels, ensuring timely analysis while avoiding unnecessary collection events that would increase network load and processing energy consumption.
Solution Approach 2:
The patent dynamically adjusts data collection parameters such as sampling rate, data granularity, and collection frequency based on network conditions, device performance, and priority levels. This allows the system to maintain data timeliness for critical issues while reducing collection intensity during normal operations, thereby optimizing the balance between timeliness and processing load.
3Loss of information
If comprehensive data is collected from all CPE devices, then data completeness is improved, but data processing complexity and device complexity increase
Solution Approach 1:
The patent applies different data collection and processing strategies to different CPE devices based on their specific characteristics, device types, and performance profiles. Rather than using a uniform approach for all devices, the system tailors data collection parameters, processing intensity, and analysis methods to match local device qualities and requirements.
Solution Approach 2:
The patent segments the comprehensive data collection into structured categories and hierarchical levels. Data is organized into segments such as device metadata, performance metrics, error information, and diagnostic data, with varying levels of detail collected based on device priority and issue severity. This segmentation reduces processing complexity by organizing information systematically.
4Productivity
If parallel data collection from multiple CPE devices is implemented, then data collection efficiency is improved, but network traffic volume increases
Solution Approach 1:
The patent implements parallel data collection for only the necessary subset of CPE devices rather than attempting to collect data from all devices simultaneously. The system identifies and targets specific devices that require monitoring based on performance thresholds, error conditions, and priority levels, performing partial parallel collection that maintains efficiency while limiting network traffic volume.
Solution Approach 2:
The patent extracts and collects only the essential data elements from each CPE device during parallel collection operations. By identifying and collecting only the critical performance metrics and diagnostic information needed for immediate analysis, the system maintains high collection efficiency while minimizing the volume of data transmitted across the network.
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for collecting and analyzing data from customer premise equipment (CPEs) in a broadcasting network. An embodiment operates by a headend device establishing a first set of connections to a set of CPE devices, transmitting a set of CPE data collection instructions to each CPE device, and then terminating the first set of connections. Subsequently, the embodiment operates by the headend device establishing a second set of connections to the set of CPE devices and receiving, from a subset of the set of CPE devices, a set of CPE data packages generated based on set of CPE data collection instructions. The embodiment further operates by the headend device generating a CPE dataset based on the set of CPE data packages and determining a set of CPE diagnostic data for one or more CPE devices based on the CPE dataset.