Decentralized Multi-Endpoint Conferencing Network Bandwidth Optimization
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Solution Overview
Problem
Current data conferencing systems rely on central servers, requiring significant bandwidth and processing resources, which limits their scalability and efficiency in multi-endpoint configurations.
Innovation Solution
A decentralized scalable network of End-Points that allows source End-Points to connect with non-virtual target End-Points, transmit conference lists, and receive positive selection notifications to distribute data using multi-cast or uni-cast protocols, optimizing data transmission based on requested characteristics and available connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a central server is used for data conferencing, then data transmission and processing can be centralized and managed, but bandwidth and processing resources are significantly consumed
Solution Approach 1:
The patent segments the centralized conferencing system into multiple distributed end-points that can independently transmit and receive data. Each end-point acts as both a client and a potential relay node, dividing the previously centralized functions across multiple nodes to reduce the resource burden on any single node while maintaining centralized coordination capabilities.
Solution Approach 2:
The patent introduces intermediary end-points that can relay data between source and target end-points without requiring all data to pass through a central server. These intermediary nodes facilitate direct peer-to-peer communication paths, reducing the bandwidth consumption of the central server while maintaining system coordination.
2Ease of operation
If a central server is used for data conferencing, then system coordination and data mixing can be achieved, but the system scalability is limited
Solution Approach 1:
The patent implements a dynamic system where end-points can dynamically discover each other, establish direct communication paths, and adapt their roles based on network conditions. The system transitions from a static centralized architecture to a dynamic distributed architecture where nodes can join and leave flexibly, improving scalability while maintaining coordination through adaptive protocols.
Solution Approach 2:
By segmenting the system into autonomous end-points with distributed intelligence, the patent enables the system to scale horizontally by adding more end-points without proportionally increasing central server capacity. Each segmented node maintains independent operation capabilities while participating in coordinated conferencing activities.
3Ease of operation
If data is transmitted to all end-points through a central server, then data distribution is simplified, but bandwidth consumption increases
Solution Approach 1:
The patent applies local quality by allowing end-points to receive data directly from source end-points or nearby intermediaries rather than all data traversing the entire network through the central server. This localized data distribution reduces redundant transmissions and bandwidth consumption while maintaining the simplicity of data distribution through selective direct paths.
Solution Approach 2:
The patent adds a spatial dimension to data distribution by establishing direct peer-to-peer communication channels between end-points, creating a multi-dimensional data flow architecture. Data can flow through multiple paths simultaneously (central server, direct links, intermediary relays), optimizing bandwidth utilization by selecting the most efficient transmission paths.
Data Source
AI summary
A multi end-point (EP) conferencing system, including a decentralized scalable network of End-Points that includes a source EP being configured to connect to a non-virtual target EP. The source EP being configured to transmit to the non-virtual target EP a conference list thereof, for distributing to non-virtual EPs and virtual EPs associated with the target EP. It is further configured to receive a conference list of the non-virtual target EP, integrate the received conference list with its conference list to obtain an integrated conference list and distribute the integrated conference list or parts thereof to virtual EPs and non-virtual EPs associated with the source EP. The source EP being further configured to receive a positive selection notification being indicative of a requesting EP from EPs associated with the source EP that would like to get data from the source EP. In response to receipt of the positive selection notification, the source EP being configured to transmit data for receiving by the requesting EP.


