Adaptive Data Synchronization via Location Prediction
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Solution Overview
Problem
Data synchronization between portable computing devices and servers is affected by network type and quality, leading to inconsistent user experiences as devices move to different locations, with existing methods failing to adapt effectively to changing data exchange conditions.
Innovation Solution
A method and apparatus that predict a device's location and assess data exchange quality, adjusting synchronization frequency and type based on anticipated network conditions, using a synchronization manager that selects between polling and push channels based on quality thresholds to ensure seamless data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data synchronization is performed frequently to ensure data access quality, then data access reliability is improved, but network energy consumption increases
Solution Approach 1:
The patent applies dynamics by making the synchronization frequency adaptive rather than fixed. The system dynamically adjusts polling intervals based on real-time network quality assessment and device movement detection. When network quality is poor or the device is moving, synchronization frequency is reduced; when network quality is good and the device is stationary, frequency increases, thus optimizing both data access quality and energy consumption.
Solution Approach 2:
The system changes the parameter of synchronization frequency based on assessed conditions. It monitors network quality metrics and device movement status, then adjusts the polling interval parameter accordingly. This parameter adaptation allows the system to maintain data access quality when conditions permit while reducing energy consumption when conditions deteriorate.
2Reliability
If data synchronization frequency is increased to maintain data access quality during movement, then data access reliability is improved, but data exchange time increases
Solution Approach 1:
The system performs preliminary assessment of network quality and device movement status before initiating data synchronization. By predicting future network conditions and movement patterns, it prepares appropriate synchronization strategies in advance, avoiding unnecessary synchronization attempts that would waste time and resources.
Solution Approach 2:
The synchronization frequency is dynamically adjusted based on real-time conditions. When the device is detected to be moving or network quality is poor, the system reduces synchronization frequency to minimize data exchange time. When conditions improve, frequency increases to maintain data access quality, thus balancing both requirements.
3Adaptability or versatility
If network quality assessment is performed continuously to adapt synchronization, then adaptability is improved, but processing energy consumption increases
Solution Approach 1:
The system performs network quality assessment periodically rather than continuously. It uses motion sensors to detect device movement and triggers network quality assessments based on movement events or time intervals. This periodic approach maintains synchronization adaptability while significantly reducing processing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system uses built-in motion sensors and existing network stacks to perform self-assessment of device state and network quality. By leveraging already-available hardware and software resources, it achieves adaptability without requiring additional energy-intensive processing or external services.
Data Source
AI summary
A method and apparatus for modifying data synchronization of a portable computing device responsive to movement of the portable computing device are disclosed. Data exchange quality associated with multiple locations is captured and stored. A predicted location of a portable computing device is determined from stored data describing previous locations of the portable computing device or navigation data. Data exchange quality associated with the predicted location is retrieved and analyzed to modify data exchange between the portable computing device and a server. For example, if the data exchange quality of the predicted location is low, a fault-tolerant data exchange method is selected or if data exchange is not possible at the predicted location, data exchanges occur more frequently prior to the portable computing device reaching the predicted location.


