Hybrid Information-Centric Networking RTC Transport
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Solution Overview
Problem
Current real-time communication (RTC) technologies face challenges in scaling due to stringent latency requirements, leading to increased network resource usage and latency introduction, especially when dealing with passive participants in communication sessions, and require server-based encoding and decoding that adds computational and network load.
Innovation Solution
Implementing a Hybrid Information-Centric Networking (hICN)-RTC architecture that distinguishes between active and passive participants, using different transport mechanisms to manage latency and resource allocation, ensuring low latency for active participants while relaxing synchronization constraints for passive participants, thus optimizing network resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current RTC protocols forward content to all end users including passive participants, then content distribution is achieved, but network resource usage increases and latency is introduced
Solution Approach 1:
The patent applies local quality by differentiating transport mechanisms based on participant type: active participants receive content via RTP with latency guarantees, while passive participants receive content via HTTP fluency streaming without latency guarantees. This localized adaptation of transport quality resolves the contradiction by optimizing resource usage for each participant category while maintaining their respective content distribution needs.
2Adaptability or versatility
If RTC scales with increasing participating devices, then broader communication coverage is achieved, but network resource usage increases due to latency requirements
Solution Approach 1:
The patent changes the transport parameter (latency guarantee) based on participant role. Active participants use RTP with strict latency parameters, while passive participants use HTTP streaming with relaxed latency parameters. This parameter differentiation enables the system to scale to more devices without proportionally increasing network resource consumption, as passive participants consume fewer resources.
3Adaptability or versatility
If server-based audio/video encoding or decoding is implemented, then content format distribution is achieved, but computational load and network load increase
Solution Approach 1:
The patent extracts the encoding/decoding requirement from the server function and relocates it to the client devices. Each participant device performs its own encoding and decoding operations, eliminating the need for server-based media processing. This extraction resolves the contradiction by maintaining content format adaptability at the client level while removing the computational and network burden from the server.
Data Source
AI summary
In one embodiment, a device obtains traffic for an application to be sent to a plurality of hybrid Information-Centric Networking clients. The device divides the plurality of hybrid Information-Centric Networking clients into active hybrid Information-Centric Networking clients and passive hybrid Information-Centric Networking clients, based in part on whether a given hybrid Information-Centric Networking client is sharing content with the plurality of hybrid Information-Centric Networking clients via the application. The device sends, to the active hybrid Information-Centric Networking clients, the traffic using a first transport mechanism that guarantees a level of end-to-end latency between the device and the active hybrid Information-Centric Networking clients. The device sends, to the passive hybrid Information-Centric Networking clients, the traffic using a second transport mechanism that does not guarantee the level of end-to-end latency between the device and the passive hybrid Information-Centric Networking clients.