Decentralized Conferencing Database With Decision-Maker Synchronization
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Solution Overview
Problem
Existing videoconferencing systems rely on central servers, leading to data security issues, server dependencies, and costs that are passed on to users, making them economically inefficient.
Innovation Solution
A decentralized database system where individual subscriber databases synchronize data via channels, forming a dynamically changeable cluster with a designated decision-maker to ensure data consistency, eliminating the need for a central server and enabling secure, cost-effective video conferencing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a central server is used for video conferencing data exchange, then data transmission and coordination are simplified, but data security deteriorates and server dependencies increase
Solution Approach 1:
The patent segments the centralized database into multiple individual subscriber databases distributed across different terminals. Each subscriber maintains their own database locally, and data is segmented into individual records that can be independently synchronized. This eliminates the single point of failure and security vulnerability inherent in centralized servers while maintaining coordination capabilities through the data channel mechanism.
Solution Approach 2:
The patent introduces data channels as intermediary communication pathways between subscriber databases. These channels enable direct peer-to-peer data transmission without requiring a central server to mediate or store the actual conferencing data. The intermediary mechanism allows coordinated data exchange while preserving data security and eliminating server dependencies.
2Device complexity
If a central server is used for video conferencing, then system management is simplified, but server costs and operational expenses increase
Solution Approach 1:
The patent implements a self-service architecture where each subscriber terminal autonomously maintains its own database and actively participates in data synchronization. Instead of relying on a centralized server to manage and store all data, the system distributes management responsibilities across all participants. This eliminates server operational costs while maintaining system coordination through peer-to-peer data channel communications.
Solution Approach 2:
The patent merges the functions of data storage, data management, and data transmission across multiple subscriber terminals rather than concentrating these functions in a single server. Each subscriber terminal combines local database storage with active participation in the distributed synchronization network, eliminating the need for separate server infrastructure and reducing overall system costs.
3Stability of the object's composition
If data is stored centrally on a server, then data consistency is easier to maintain, but data security and user privacy deteriorate
Solution Approach 1:
The patent segments the centralized data storage into distributed individual subscriber databases. Each subscriber's data remains localized on their own terminal, segmented from other users' data and from central server storage. This segmentation maintains data consistency through structured synchronization protocols while inherently protecting data security by ensuring that even if one terminal is compromised, other subscribers' data remains secure on their respective terminals.
Solution Approach 2:
The patent applies local quality by allowing each subscriber terminal to maintain its own database with specific security characteristics and access controls tailored to that user's needs. Data consistency is achieved not through centralized control but through localized database management combined with synchronized data channel exchanges that preserve both consistency and local security requirements.
Data Source
AI summary
A decentralized database distributed among a plurality of subscriber terminals, which database is formed from a plurality of individual subscriber databases containing respective data records which are synchronized, or are synchronizable, with one another via data channels, in which the subscribers are grouped together to form a dynamically changeable cluster. One subscriber in the cluster is selected, or selectable, as decision-maker; each of the subscribers locally produces entries in a subscriber data collection structure and transmits these entries at least to the decision-maker for clearance. The decision-maker successively arranges and clears its own entries and the entries received from the other subscribers in its subscriber database, and the other subscribers are designed to copy the cleared entries, in accordance with their arrangement in the subscriber database of the decision-maker, to their respective own subscriber database, after the clearance has taken place. The database is useable to conduct serverless video conferences.