Distributed Collaborative Editing with Virtual Nodes and MVCC
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Solution Overview
Problem
Existing multi-user real-time collaborative editing systems face challenges with high concurrency and simultaneous multi-user operations, including command processing delays, data synchronization inconsistencies, and suboptimal system responsiveness, particularly in high-frequency interactive scenarios, and often require complex integration with front-end editors.
Innovation Solution
A distributed collaborative editing method using virtual Peer nodes, Broker, Curator, and Emitter nodes, combined with Multi-Version Concurrency Control (MVCC) and real-time file system monitoring, ensures efficient command processing and seamless integration with front-end editors, optimizing system stability and compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized control architecture is used to manage all user operations and data synchronization, then data consistency can be maintained, but command processing delays and system responsiveness deteriorate under high concurrency
Solution Approach 1:
The patent divides the centralized control system into multiple distributed control nodes that independently handle different user operations and data synchronization tasks. Each node processes commands locally and propagates changes to relevant nodes, eliminating the single-point bottleneck and reducing command processing delays while maintaining data consistency through inter-node communication protocols.
Solution Approach 2:
The patent introduces virtual nodes as intermediary entities that mediate between physical users and the distributed control system. These virtual nodes buffer and pre-process commands before distribution, and coordinate conflict resolution between multiple users editing the same file, thereby reducing direct communication overhead and improving system responsiveness.
2Speed
If decentralized architectures with distributed nodes are used to reduce server load and latency, then system responsiveness improves, but data synchronization inconsistencies and conflict resolution inefficiencies worsen
Solution Approach 1:
The patent implements a feedback mechanism where control nodes continuously monitor and report their state, including current file versions and active operations, to a coordination service. This feedback enables the system to detect synchronization conflicts early and coordinate resolution actions, ensuring data consistency is maintained even in the decentralized architecture.
Solution Approach 2:
The patent employs preliminary conflict detection and resolution mechanisms where the system pre-establishes version vectors and operation logs for each file before conflicts occur. When multiple users attempt to edit the same file, the system has already prepared the necessary synchronization data structures, enabling rapid conflict resolution without compromising data consistency.
3Reliability
If single-lock mechanisms are introduced to improve stability and data consistency, then data consistency improves, but editing freedom and collaboration efficiency deteriorate
Solution Approach 1:
The patent implements fine-grained locking where different portions or versions of a file can be locked simultaneously for different users based on their specific editing needs. Instead of a single global lock, the system applies locks at the granular level of file segments or version branches, allowing multiple users to collaborate on different parts of the same file without blocking each other, thereby maintaining both consistency and efficiency.
4Adaptability or versatility
If plugins or additional configurations are used to integrate front-end editors with back-end services, then compatibility and extensibility improve, but integration difficulty and system maintenance costs worsen
Solution Approach 1:
The patent designs the distributed control system with universal interfaces and standardized communication protocols that can be directly integrated with multiple front-end editor types without requiring custom plugins for each editor. The control nodes communicate through a unified API layer that abstracts editor-specific details, enabling the same back-end service to work with various editors while maintaining compatibility and reducing maintenance complexity.
Data Source
AI summary
This invention discloses a multi-user real-time collaborative editing method based on virtual nodes and distributed control, leveraging the Cooper distributed control architecture. By introducing control nodes such as Brokers, Curators and Binders, it ensures precise control and efficient handling of collaborative instructions, maintaining data consistency and system responsiveness while significantly enhancing real-time performance, stability, and scalability. Through the integration of Multi-Version Concurrency Control (MVCC) and real-time file system monitoring, the method supports concurrent multi-user editing and conflict management of the same file, optimizing system performance. The design includes virtual Peer nodes that seamlessly connect front-end editors with back-end services, improving compatibility and adaptability. The linkage mechanism between Brokers and Emitters achieves fine-grained processing and efficient distribution of instructions, optimizing system performance in high-frequency interaction scenarios. This technical approach overcomes the limitations of existing collaborative editing systems and provides an innovative, efficient, and stable solution for multi-user real-time collaboration.