Metadata-Based Synchronization Optimization
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Solution Overview
Problem
Existing data storage and database technologies lack the ability to efficiently organize, search, and share all types of data, including structured, non-structured, and semi-structured data, and face challenges in peer-to-peer synchronization due to metadata overhead and resource consumption.
Innovation Solution
A storage platform utilizing a database engine with object relational extensions, implementing a data model that supports organization, searching, synchronization, and security, with metadata-based change tracking and application programming interfaces for efficient data management and synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data storage and database technologies are used for peer-to-peer synchronization, then data can be stored and accessed, but metadata overhead and resource consumption increase significantly
Solution Approach 1:
The patent segments metadata into multiple categories including change metadata, conflict metadata, and synchronization metadata. Each category serves a specific function in the synchronization process, allowing the system to track and manage only the necessary information rather than maintaining comprehensive metadata for all data operations. This segmentation reduces overall metadata overhead while maintaining synchronization reliability.
Solution Approach 2:
The patent extracts and isolates only the essential synchronization-related metadata from the complete data set. By identifying and extracting specifically those metadata elements required for peer-to-peer synchronization (such as change timestamps, conflict indicators, and synchronization status), the system eliminates unnecessary metadata overhead while preserving the core synchronization functionality.
2Measurement precision
If comprehensive metadata tracking is implemented for all data changes, then synchronization accuracy improves, but resource consumption increases
Solution Approach 1:
The patent implements partial metadata tracking by monitoring only specific data operations that are relevant to synchronization (such as inserts, updates, and deletes of synchronized items) rather than tracking all possible data operations. This selective approach maintains sufficient precision for detecting synchronization-relevant changes while significantly reducing the processing resources required compared to comprehensive tracking of all data modifications.
Solution Approach 2:
The patent applies different levels of metadata tracking granularity to different data types and operations. High-precision tracking is applied only to data items that require strict synchronization (such as shared documents and critical records), while lower-precision or no tracking is applied to data items that are less critical for synchronization. This localized quality approach optimizes the balance between detection precision and resource consumption.
3Loss of information
If frequent synchronization is performed to maintain data consistency, then data loss is reduced, but system performance and user experience deteriorate due to resource overhead
Solution Approach 1:
The patent implements periodic synchronization intervals based on the priority and type of data being synchronized. Critical data items are synchronized more frequently to minimize data loss, while less critical items use longer intervals. The system also implements event-triggered synchronization that activates only when specific conditions are met (such as completion of a data operation or detection of a conflict), reducing unnecessary synchronization operations and improving overall system performance.
Solution Approach 2:
The patent dynamically adjusts synchronization frequency and metadata collection intensity based on current system conditions, data priority levels, and user activity patterns. During periods of high system load or when users are actively working with data, synchronization is deferred or performed with reduced metadata collection. During idle periods or for high-priority data, synchronization frequency increases. This dynamic adaptation minimizes data loss while preserving system performance and user experience.
Data Source
AI summary
Various embodiments of the present invention are directed to synchronization utilizing one or more optimizations through the utilization of metadata. For several embodiments of the present invention, one method for optimizing synchronization is to reduce the overhead required for said synchronization by having each peer only tracking changes for itself and other peers within its change community (or communities) (a.k.a., “Intra-Community-Only Change Tracking Optimization”). For certain embodiments of the present invention, another method for optimizing synchronization is to not create synchronization overhead until required. For numerous embodiments of the present invention, yet another method for optimizing synchronization is to minimize redundant use of a partner's unique global ID—a large and cumbersome number—and to instead maintain a table that cross-references each partner (and its unique global ID) with a smaller and much less cumbersome partner key.