Centralized Server for Collaborative Editing Operation Ordering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current collaborative editing systems face challenges in maintaining consistent ordering of operations across clients, leading to increased complexity and limitations in flexibility and capabilities, as each client must independently reorder operations, resulting in a significant burden on the system.
Innovation Solution
Implementing a client-server model where a centralized server determines and enforces a consistent ordering of operations, assigning unique identifiers to ensure all clients maintain a synchronized list of operations, thereby reducing the burden and enhancing flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each client maintains separate order of operations using vector clock, then each client can independently track operations, but the system complexity increases and flexibility is constrained
Solution Approach 1:
The patent introduces a server as an intermediary that centralizes the operation ordering function. Instead of each client independently maintaining vector clocks and reordering operations, the server receives operations from all clients, determines their order, and distributes the ordered operations back to clients. This mediator approach resolves the contradiction by improving operation consistency through centralized control while reducing system complexity by eliminating the need for complex distributed consensus algorithms at each client.
2Reliability
If each client independently reorders operations, then operation consistency can be maintained, but additional operations are required and burden on the collaborative system increases
Solution Approach 1:
The server acts as a central coordinator that consolidates the operation ordering task. Rather than each client performing independent reordering operations that generate additional traffic and processing overhead, the server performs the ordering once and distributes the results. This eliminates redundant reordering operations at each client and reduces the overall burden on the collaborative system, thereby improving productivity while maintaining consistency.
3Adaptability or versatility
If separate ordering is maintained at each client, then distributed autonomy is preserved, but flexibility of operations and collaborative capabilities are constrained
Solution Approach 1:
The centralized server simplifies ordering management by handling all operation sequencing in one place. This approach increases collaborative flexibility because the server can implement sophisticated ordering strategies (such as prioritizing certain operations, handling conflicts, or optimizing for specific collaborative patterns) without requiring complex client-side logic. Clients gain versatility in their collaborative capabilities while the server manages the complexity of operation ordering centrally.
Data Source
AI summary
Systems, methods, and computer-readable storage media for ordering editing operations in collaborative editing of shared content items. The content management system can receive an edit operation from a first client for a content item that is shared for collaborative editing between the first client and a second client. In response to receiving the operation, the system can send an update to the first client including a previous operation received from the second client prior to receiving the operation from the first client, wherein the update can instruct the first client to perform a transform operation to transform a parameter of the operation according to an effect of the previous operation received from the second client. The system can then receive a result of the transform operation from the first client and update the shared content item based on the previous operation and the result of the transform operation.