Synchronization Server Optimizing Event Download Order
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing file synchronization systems often strain server resources and fail to prioritize the download of content most immediately interesting to users, leading to inefficient synchronization.
Innovation Solution
Implementing machine learning techniques to predict user preferences and optimize the order and manner of downloading synchronization events, ensuring that the most relevant changes are prioritized and delivered to clients based on observed user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If server-centric synchronization is used, then synchronization can be provided across disparate client devices with minimal client side software, but server side resources are strained for large synchronization sets and many client devices
Solution Approach 1:
The patent segments the synchronization task by processing synchronization sets individually and selectively. Instead of processing all synchronization sets uniformly, the system identifies and processes only those with unsynchronized changes, dividing the workload into manageable segments that reduce server resource strain while maintaining comprehensive synchronization capability.
Solution Approach 2:
The patent applies partial action by processing only the necessary portion of synchronization data. The server processes synchronization sets only when changes are detected, rather than continuously processing all sets. This selective processing reduces server resource consumption while ensuring synchronization remains available when needed.
2Quantity of substance
If traditional synchronization order is used, then all changes are synchronized, but content of greatest interest to users does not arrive first or by the time users want to access it
Solution Approach 1:
The patent implements preliminary action by predicting which synchronization sets are most likely to be accessed first based on user behavior patterns and preferences. The system proactively processes and makes available these predicted high-priority sets before users actually request them, reducing access time while maintaining completeness of all changes.
Solution Approach 2:
The patent applies dynamics by adapting the synchronization processing order based on real-time user behavior observations. The system dynamically adjusts which synchronization sets are processed first based on observed user patterns, ensuring that content most likely to be accessed immediately is prioritized, while still maintaining synchronization of all changes.
Data Source
AI summary
Techniques to perform event-based synchronization of data among a plurality of endpoints are disclosed. In various embodiments, a user interaction associated with synchronization set data that has been synchronized based on synchronization events downloaded from a synchronization server configured to propagate changes via a synchronization event stream is observed. The observed user interaction is used to infer a user preference with respect to downloaded synchronization set data. Access is provided to synchronization event related data in a subsequent download in a manner determined based at least in part on the inferred user preference.