P2P Data Synchronization via Decentralized Time Offset Calibration
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Solution Overview
Problem
Peer-to-peer (P2P) ad hoc networks face challenges in real-time data synchronization due to device membership changes, clock drift leading to non-synchronized timestamps, and the absence of a centralized server for coordination, which complicates data synchronization and conflict resolution.
Innovation Solution
Implementing a decentralized data synchronization system using natural store modules within each device, comprising a P2PDataSync module for data synchronization, a TimeSync module for timestamp synchronization, and a SyncCommunicator module for communication, allowing devices to synchronize data and timestamps without a central server, and enabling operation even when devices go offline or lose network connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized server is used for data synchronization coordination, then data consistency can be maintained, but the system loses real-time responsiveness and introduces a single point of failure
Solution Approach 1:
The patent segments the centralized synchronization function into distributed peer-to-peer operations. Each device maintains its own data store and independently synchronizes with peers using cryptographic proofs, eliminating the need for a central coordinator while maintaining data consistency through decentralized consensus mechanisms.
Solution Approach 2:
Devices perform self-synchronization by generating their own cryptographic proofs of data state and independently verifying peer data consistency. Each peer autonomously detects and resolves conflicts using timestamp-based rules without requiring centralized arbitration, enabling real-time synchronization without single points of failure.
2Speed
If devices operate independently in P2P mode, then real-time synchronization is achieved, but clock drift causes timestamp inconsistencies
Solution Approach 1:
The system performs preliminary timestamp calibration by exchanging timing messages between peers before data synchronization begins. Devices measure round-trip times and adjust their local clocks to compensate for drift, establishing synchronized time references in advance to ensure accurate timestamp comparison during subsequent data operations.
3Reliability
If devices frequently communicate to synchronize data, then data consistency is maintained, but network overhead and latency increase
Solution Approach 1:
Instead of continuous communication, the system implements periodic synchronization intervals where devices exchange data state proofs and resolve conflicts only when necessary. Peers compare timestamps and cryptographic hashes at scheduled intervals, reducing network overhead while maintaining consistency by synchronizing only when actual data changes occur.
Data Source
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AI summary
A computer- implemented method for data synchronization in a P2P ad hoc network includes retrieving network configuration information identifying a plurality of devices forming the P2P network. A time offset between a local physical time at a first device and a local physical time of a second device is determined. A change in a data object of a plurality of data objects stored at a key-value store within the first device is detected, each of the data objects including a synchronization indicator. The data object change is communicated to at least the second device based on the synchronization indicator. Upon receiving confirmation from the at least second device of receipt of the data object change, the network configuration information is updated with a timestamp based on the time offset and indicative of the local physical time at the first device when the data object change is communicated.