LAN Video Stream Routing for Gateway Processing Bottlenecks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Home gateways in local area networks often have insufficient processing capabilities, leading to poor user experience with frozen images and unavailability of data streams due to reduced performance or inefficiency, especially in M-ABR multicast mode.
Innovation Solution
A method for managing data streams by selecting a device with optimal processing capabilities from a set of data processing devices within the local area network to process the stream, allowing transformation from multicast to unicast mode, and routing the stream to this selected device for improved processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the home gateway processes the data stream, then the system structure is simple and ease of operation is maintained, but processing capability is insufficient leading to frozen images and poor quality
Solution Approach 1:
The patent introduces a stream processing entity as an intermediary component that can be deployed on different devices (home gateway, cloud server, or edge device). This intermediary handles the complex processing tasks, allowing the system to maintain simplicity at the user interface level while achieving high reliability through distributed processing capabilities.
Solution Approach 2:
The system dynamically selects where to deploy the stream processing entity based on real-time conditions such as network status, device availability, and processing requirements. This dynamic deployment allows the system to adapt between local processing (simple structure) and remote processing (high reliability) modes, resolving the contradiction between simplicity and reliability.
2Productivity
If the home gateway processes the stream, then device availability is high, but processing capability is reduced due to other tasks and native inefficiency
Solution Approach 1:
The system segments the stream processing function from the home gateway infrastructure and creates an independent stream processing entity. This entity can be deployed on devices optimized for processing tasks, achieving high processing efficiency while maintaining availability through multiple potential deployment locations (gateway, cloud, edge devices).
Solution Approach 2:
The stream processing entity is designed as a universal component that can operate on multiple different device types and locations. This multi-functionality ensures that processing availability is maintained even when the home gateway is busy or unavailable, as the processing entity can migrate to or be deployed on alternative devices with sufficient capability.
3Adaptability or versatility
If a fixed home gateway is used for processing, then system configuration is simple, but adaptability to different processing requirements is poor
Solution Approach 1:
The system employs dynamic device selection mechanisms that automatically choose the most appropriate device for stream processing based on real-time conditions such as device availability, processing capability, and network status. This dynamic approach provides high adaptability without requiring complex manual configuration, as the selection process is automated and context-aware.
Solution Approach 2:
The stream processing system performs self-configuration and self-selection of processing devices without requiring complex user intervention. The system automatically evaluates available devices and selects the most suitable one, providing adaptability while keeping the user interface simple and the configuration mechanism lightweight.
Data Source
AI summary
A method for managing the processing of a data stream in a local area network including a set of data processing devices. The method includes selecting a device from the set of data processing devices and processing the stream in the selected device.